Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                

A stereo audio sigma-delta A/D-converter

IEEE Journal of Solid-State Circuits, 1994
...Read more
1514 zyxwvutsrqponmlkjihgfe IEEE zyxwvutsrqpo JOURNAL OF SOLID-STATE CIRCUITS, VOL. 29. NO. zyxwv 12. DECEMBER 1994 A Stereo Audio Sigma-Delta AD-Converter Tapani Ritoniemi, Eero Pajarre. Seppo Ingalsuo, Tim0 Husu, Ville Eerola, zyxwvu Student Member, IEEE, and Tapio Saramiiki Abstract- A stereo sigma-delta AID-converter for audio ap- plications is presented. In this converter, two identical cascaded fourth-order sigma-delta modulators and a sophisticated multi- stage linear-phase FIR decimation filter with oversampling ratio of 64 are implemented on the same die. The analog part is de- signed to operate at a low voltage with a low power consumption. Techniques to achieve simultaneously a high performance and a low power consumption are discussed in details. The minimum stopband attenuation of the decimator is more than 120 dB and the passband ripple of the overall converter is less than 0.0003 dB. The first decimation stage is a special tapped comb filter, whereas the remaining stages are realized without general multipliers by simultaneously implementing all the filter coefficients by using special bit-serial networks. For the integrated overall stereo converter, the power consumption and the signal-to-noise ratio are 180 mW and 97 dB (85 mW and 95 dB) for a 5 V (3 V) power supply. The circuit die area is only 4.7 mm x 5.5 mm using a 1.2 pm double-poly BiCMOS process. I. INTRODUCTION HE ADCONVERTERS, based on the use of oversam- T pling and sigma-delta (SD) modulation followed by the decimation process, are currently the most popular convert- ers for audio applications. These converters have significant advantages over conventional AD-converters, such as modest circuit accuracy and matching requirements making them eas- ily realizable as a VLSI circuit. In addition, the requirements for the external antialiasing filter are highly relaxed by the internal decimation process following the modulation. Despite the very attractive features of SD A/D-converters, there are some remaining fundamental problems. One of the major problems is that the analog part has to operate at a high sampling rate because of the need for oversampling. The oversampling ratio (OSR) is a function of the required signal-to-noise ratio (SNR), the order of the modulator, the modulator topology, and the number of quantized bits used in the modulation. Distortion-free one bit quantization is easy to implement compared to a multibit quantization, but it requires either a higher-order modulator structure or a higher OSR. The existing modulators use either feedforward (FF) or multiple feedback (MFB) structures shown in Fig. 1, [ 11-[4] or cascades of these blocks zyxwvutsrqp [5]. Extreme cases are MASH structures [6], [7] using first-order building blocks. Given the desired SNR, the first problem is select those OSR’s and the modulator types that theoretically fullfil the criteria. The selection among these candidates depends on such factors as the circuit noise generated by the practical integration of the modulator, the required integrator dc gain of the operational transconductance amplifier (OTA), the sampling rate of the modulator, and the Manuscript received June 13, 1994; revised August 29, 1994. The authors are with VLSI Solution Ov, Kanslerinkatu 6, Tamuere. Finland. zyxwvuts AA Dout Fig. I. multiple feedback modulator. Block diagrams for SD modulators. (a) Feedforward modulator; (b) complexity of the decimator filter. These factors affect the silicon area of the overall converter, the practically achievable SNR, and the power consumption. The second problem+specially for high-resolution convert- ers-is the efficient small area integration of the decimator filter and the need of having it on the same die as the modulator. The interference between analog and digital part has been a limiting factor in many previous mixed signal circuits. Therefore, the existing high-performance SD ADconverters use separate dies for the digital and the analog parts [3]. Another goal in audio applications is to synthesize the decimator in such a way that it is a linear-phase finite impulse response (FIR) filter and both the decimator performance (filter selectivity) and the VLSI realizability (circuit area, power consumption, speed) are simultaneosly optimized. In most existing implementations, the filter has been implemented using several FIR filter stages with the first stage being normally a cascade of comb filters [2], [6], [8]-[10], [l 11. For the remaining stages, most of the silicon area is usually occupied by the multiplier elements. One approach to avoid the use of general multipliers is to synthesize the filter stages by using a tapped cascaded inteconnection of identical multiplier-free subfilters [9], [ 101, [ 111. The main drawback of this approach is that the required number of memory elements is approximately 30 to 40% higher than that IEEE Log Number 9406265. required by conventional direct-form FIR filters. 0018-9200/94$04.00 zyxwvuts 0 1994 IEEE
RITONIEMI zyxwvutsrqponmlkjih er zyxwvutsrqponmlkjihgf a/.: zyxwvutsrqponmlkj A STEREO AUDIO SIGMA-DELTA A/D-CONVERTER This paper presents an integrated stereo SD A/D-converter for audio applications that addresses the conflicting require- ments of a small silicon area, a low power supply, a low voltage, and a high SNR. The desired performance figures have been selected to be 150 mW, 5 V, and 100 dB, respectively. In this converter, an extra effort has been devoted to integrating the decimation filter on the same die in such a way that its interference to the analog part is minimized. Even though the desired overall performance was not achieved in the first silicon, the performance of the prototypes indicates the potential of reaching the goals after some fabrication rounds and optimization of the circuit layout. The circuit die area for the overall converter is only 4.7 mm zyxwvutsrq x 5.5 mm using a 1.2 zyxwvuts prn double-poly BiCMOS process. This paper is organized as follows. In Section zyxwvuts 11, it is shown that a proper OSR is 64 and a cascaded fourth-order modulator consisting two cascaded second-order FF blocks is from the practical implementation point of view the best one among those altematives theoretically achieving the desired SNR. This modultor uses one noise-shaping zero-pair in the baseband [12], improving the SNR by approximately 10 dB. Both the signal and noise transfer functions are considered in details. Section 111 considers practical implementatation aspects of the proposed modulator such as the voltage scaling, performance limitations, and the design of suitable OTA’s for implementation, whereas Section IV shows how the interfer- ence caused by the decimator filter to the modulator section can be made negligible. Finally, Section V is devoted to the decimator design. Compared to earlier linear-phase FIR filter designs, the proposed decimator is improved in two ways. First, a special tapped comb filter introduced in [13] is used as the first stage. Compared to conventional comb filters [9], [ 141-[ 171, this filter uses additional interconnections reducing the number of feedback and feedforward term as well as the number of bits required in intemal calculations, resulting in a significant reduction in the silicon area. For the remaining filter stages, the number memory elements is made almost the minimum by implementing accurate filter coefficients without general multiplier elements by using a special bit-serial network that generates all the coefficient values with a small amount of add and shift operations. Finally, Section VI gives measurements illustrating the performance of the overall integrated chip. 11. FOURTH-ORDER CASCADED MODULATOR The OSR has been selected to be 64 for two main rea- sons. First, the resulting maximum sampling frequency of the modulator for audio applications (maximum output sampling rate of 48 kHz) is 3.072 MHz, that is within reach due to the development of the (Bi)CMOS technology. Second, there exist several modulator candidates for which the signal- to-quantization noise in the baseband exceeds 100 dB with modest component matching requirements. The modulator candidates are the fourth-order MFB, the fourth-order FF [2], fifth-order MFB [3], and fifth-order FF modulators as well as fourth-order cascaded modultors using either two second-order FF blocks or two second-order MFB blocks [5]. Vin 151.5 Ci Fig. 2. Configuration of the integrator. TABLE I VALUES OF’@ FOR DIFFERENT MODULATOR STRUCTVRES Modulator topology Fourth-order cascaded with second-order F F blorks Fourth-order F F Fifth-orderh FF Fourth-order cascaded with second-order MFB hlorks Fourth-order MFB Fifth-order MFB c. I c, - 0.50 zyxwvu 0.45 0.43 0.25 0.17 0.14 hi1 Knm.* 1.25 1.67 2.00 1.25 1.67 2.00 I 2.50 ~ 3.66 4.61 5.00 10.00 14.08 @ in dB 8.0 11.2 13.2 14.0 20.0 23.0 For all the above alternatives, the circuit noise caused by the practical integration of the modulator is higher than the theoretical quantization noise determined according to the block diagram. Therefore, it is advisable to select the structure for which the circuit noise level at the modulator output is the lowest in the baseband. To achieve this, we can concentrate on the amount of the circuit noise caused by the first integrator to the modulator output. Because of noise shaping, the contribution of the other integrator stages to the output noise is considerably smaller. The transfer function for the noise generated by the first integrator to the output is the same as for the signal passing through the modulator. Therefore, it is practically unity in the baseband and all that remains is to minimize the gain by which the noise generated by the OTA of the first integrator is amplified. The schematic of the first integrator is depicted in Fig. 2. The desired gain is approximately given by zyxwv 6 = (c~/cs.)(~ef/Kn,,,)~ (1) where Vinmax and Vref are the maximum input voltage and the reference voltage (c$ Fig. 6), respectively. The above formula assumes that the one-bit feedback capacitor is of the same size as C,. Table I compares the values of 9 for the candidate modulator structures. These values are based on previous modulator designs and simulations [4], [5]. From the table, it is seen that the fourth-order structure with two second-order FF blocks has the smallest 9. Since C, is predetermined according to the desired value of thermal (k?’/C) noise, the smallest value of indicates that this
1514 zyxwvutsrqpo zyxwv zyxwvutsrqponmlkjihgfe IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL. 29. NO. 12. DECEMBER 1994 zyxwvu A Stereo Audio Sigma-Delta AD-Converter Tapani Ritoniemi, Eero Pajarre. Seppo Ingalsuo, Tim0 Husu, Ville Eerola, Student Member, IEEE, and Tapio Saramiiki AA Abstract- A stereo sigma-delta AID-converter for audio applications is presented. In this converter, two identical cascaded fourth-order sigma-delta modulators and a sophisticated multistage linear-phase FIR decimation filter with oversampling ratio of 64 are implemented on the same die. The analog part is designed to operate at a low voltage with a low power consumption. Techniques to achieve simultaneously a high performance and a low power consumption are discussed in details. The minimum stopband attenuation of the decimator is more than 120 dB and the passband ripple of the overall converter is less than 0.0003 dB. The first decimation stage is a special tapped comb filter, whereas the remaining stages are realized without general multipliers by simultaneously implementing all the filter coefficients by using special bit-serial networks. For the integrated overall stereo converter, the power consumption and the signal-to-noise ratio are 180 mW and 97 dB (85 mW and 95 dB) for a 5 V (3 V) power supply. The circuit die area is only 4.7 mm x 5.5 mm using a 1.2 p m double-poly BiCMOS process. Dout I. INTRODUCTION T HE ADCONVERTERS, based on the use of oversampling and sigma-delta (SD) modulation followed by the decimation process, are currently the most popular converters for audio applications. These converters have significant advantages over conventional AD-converters, such as modest circuit accuracy and matching requirements making them easily realizable as a VLSI circuit. In addition, the requirements for the external antialiasing filter are highly relaxed by the internal decimation process following the modulation. Despite the very attractive features of SD A/D-converters, there are some remaining fundamental problems. One of the major problems is that the analog part has to operate at a high sampling rate because of the need for oversampling. The oversampling ratio (OSR) is a function of the required signal-to-noise ratio (SNR), the order of the modulator, the modulator topology, and the number of quantized bits used in the modulation. Distortion-free one bit quantization is easy to implement compared to a multibit quantization, but it requires either a higher-order modulator structure or a higher OSR. The existing modulators use either feedforward (FF) or multiple feedback (MFB) structures shown in Fig. 1, [ 11-[4] or cascades of these blocks [ 5 ] . Extreme cases are MASH structures [6], [7] using first-order building blocks. Given the desired SNR, the first problem is select those OSR’s and the modulator types that theoretically fullfil the criteria. The selection among these candidates depends on such factors as the circuit noise generated by the practical integration of the modulator, the required integrator dc gain of the operational transconductance amplifier (OTA), the sampling rate of the modulator, and the Fig. I . Block diagrams for SD modulators. (a) Feedforward modulator; (b) multiple feedback modulator. complexity of the decimator filter. These factors affect the silicon area of the overall converter, the practically achievable SNR, and the power consumption. The second problem+specially for high-resolution converters-is the efficient small area integration of the decimator filter and the need of having it on the same die as the modulator. The interference between analog and digital part has been a limiting factor in many previous mixed signal circuits. Therefore, the existing high-performance SD ADconverters use separate dies for the digital and the analog parts [ 3 ] . Another goal in audio applications is to synthesize the decimator in such a way that it is a linear-phase finite impulse response (FIR) filter and both the decimator performance (filter selectivity) and the VLSI realizability (circuit area, power consumption, speed) are simultaneosly optimized. In most existing implementations, the filter has been implemented using several FIR filter stages with the first stage being normally a cascade of comb filters [ 2 ] , [6], [8]-[10], [ l 11. For the remaining stages, most of the silicon area is usually occupied by the multiplier elements. One approach to avoid the use of general multipliers is to synthesize the filter stages by using a tapped cascaded inteconnection of identical multiplier-free subfilters [9], [ 101, [ 111. The main drawback of this approach is that the required number of memory elements is approximately 30 to 40% higher than that required by conventional direct-form FIR filters. zyxwvutsrqp Manuscript received June 13, 1994; revised August 29, 1994. The authors are with VLSI Solution Ov, Kanslerinkatu 6, Tamuere. Finland. IEEE Log Number 9406265. zyxwvuts zyxwvuts 0018-9200/94$04.00 0 1994 IEEE zyxwvutsrqponmlkjih zyxwvutsrqponmlkjihgf zyxwvutsrqponmlkj 151.5 RITONIEMI er a/.: A STEREO AUDIO SIGMA-DELTA A/D-CONVERTER This paper presents an integrated stereo SD A/D-converter for audio applications that addresses the conflicting requirements of a small silicon area, a low power supply, a low voltage, and a high SNR. The desired performance figures have been selected to be 150 mW, 5 V, and 100 dB, respectively. In this converter, an extra effort has been devoted to integrating the decimation filter on the same die in such a way that its interference to the analog part is minimized. Even though the desired overall performance was not achieved in the first silicon, the performance of the prototypes indicates the potential of reaching the goals after some fabrication rounds and optimization of the circuit layout. The circuit die area for the overall converter is only 4.7 mm x 5.5 mm using a 1.2 prn double-poly BiCMOS process. This paper is organized as follows. In Section 11, it is shown that a proper OSR is 64 and a cascaded fourth-order modulator consisting two cascaded second-order FF blocks is from the practical implementation point of view the best one among those altematives theoretically achieving the desired SNR. This modultor uses one noise-shaping zero-pair in the baseband [12], improving the SNR by approximately 10 dB. Both the signal and noise transfer functions are considered in details. Section 111 considers practical implementatation aspects of the proposed modulator such as the voltage scaling, performance limitations, and the design of suitable OTA’s for implementation, whereas Section IV shows how the interference caused by the decimator filter to the modulator section can be made negligible. Finally, Section V is devoted to the decimator design. Compared to earlier linear-phase FIR filter designs, the proposed decimator is improved in two ways. First, a special tapped comb filter introduced in [13] is used as the first stage. Compared to conventional comb filters [9], [ 141-[ 171, this filter uses additional interconnections reducing the number of feedback and feedforward term as well as the number of bits required in intemal calculations, resulting in a significant reduction in the silicon area. For the remaining filter stages, the number memory elements is made almost the minimum by implementing accurate filter coefficients without general multiplier elements by using a special bit-serial network that generates all the coefficient values with a small amount of add and shift operations. Finally, Section VI gives measurements illustrating the performance of the overall integrated chip. Ci Vin zyxwvutsrq zyxwvuts zyxwvuts zyxwvu Fig. 2. Configuration of the integrator. VALUES OF’@ FOR TABLE I DIFFERENT MODULATOR STRUCTVRES Modulator topology Fourth-order cascaded with c. I c, h i 1Knm.* 0.50 1.25 I @ in dB 2.50 8.0 ~ second-order F F blorks Fourth-order F F 0.45 1.67 3.66 11.2 Fifth-orderh FF 0.43 2.00 4.61 13.2 Fourth-order cascaded with 0.25 1.25 5.00 14.0 second-order MFB hlorks Fourth-order MFB 0.17 1.67 10.00 20.0 Fifth-order MFB 0.14 2.00 14.08 23.0 11. FOURTH-ORDER CASCADEDMODULATOR For all the above alternatives, the circuit noise caused by the practical integration of the modulator is higher than the theoretical quantization noise determined according to the block diagram. Therefore, it is advisable to select the structure for which the circuit noise level at the modulator output is the lowest in the baseband. To achieve this, we can concentrate on the amount of the circuit noise caused by the first integrator to the modulator output. Because of noise shaping, the contribution of the other integrator stages to the output noise is considerably smaller. The transfer function for the noise generated by the first integrator to the output is the same as for the signal passing through the modulator. Therefore, it is practically unity in the baseband and all that remains is to minimize the gain by which the noise generated by the OTA of the first integrator is amplified. The schematic of the first integrator is depicted in Fig. 2. The desired gain is approximately given by The OSR has been selected to be 64 for two main reasons. First, the resulting maximum sampling frequency of the modulator for audio applications (maximum output sampling rate of 48 kHz) is 3.072 MHz, that is within reach due to the development of the (Bi)CMOS technology. Second, there exist several modulator candidates for which the signalto-quantization noise in the baseband exceeds 100 dB with modest component matching requirements. The modulator candidates are the fourth-order MFB, the fourth-order FF [ 2 ] , fifth-order MFB [3], and fifth-order FF modulators as well as fourth-order cascaded modultors using either two second-order FF blocks or two second-order MFB blocks [5]. where Vinmax and Vref are the maximum input voltage and the reference voltage (c$ Fig. 6), respectively. The above formula assumes that the one-bit feedback capacitor is of the same size as C,. Table I compares the values of 9 for the candidate modulator structures. These values are based on previous modulator designs and simulations [4], [ 5 ] . From the table, it is seen that the fourth-order structure with two second-order FF blocks has the smallest 9. Since C, is predetermined according to the desired value of thermal (k?’/C) noise, the smallest value of indicates that this zyxwv 6 = (c~/cs.)(~ef/Kn,,,)~ (1) 1516 zyxwvutsrqponmlkjihgf zyxwvutsrqp zyxwvutsrqpo IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL. 29, NO. 12, DECEMBER 1994 structure requires the smallest value for C, and, therefore. also the smallest power consumption to achieve the desired performance [ 181. Fig. 3 shows the modulator structure we selected. In this structure, an additional dither signal is added before the comparator of the first modulator block to remove idle channel tones. The role of the scaling constant 1/C is to reduce the input of the second modulator block to the operation range. For determining the signal transfer function as well as the effect of the two quantizations to the overall modulator output, the performance of the structure of Fig. 3 is be modeled as shown in Fig. 4, [ 191. For the input signal, the transfer function is given by H ( z )= In ......____ L+J+y=pqp Dout Fig. 3. Block diagram for the cascaded fourth-order modulator. zr2 + X1G(z) (1 - z-’)* In - where For the two quantization error sources e l and sponding noise transfer functions are given by e2, the corre- . Dout - 2-2(1- + az-11 z-1)2 + az-l + X2G(z)] *-1)2[(1 - + [(l- z - ~ ) ~ XlG(z)][(l - (4) and (1- z - 2 y [ ( l (1 - z-2)2 az-l + az-11 + X2G(z) zyxwv Fig. 4. Linearized model for the SD modulator of Fig. 3 with two additive noise sources. 111. PRACTICAL INTEGRATION This section considers practical integration aspects of the modulator considered in the previous section, such as the voltage scaling, performance limitations, and the synthesis of suitable OTA’s for implementation. zyxwvutsrqpo zyxwvutsrq zyxwvutsrqp zyxwvut zyxwvutsrqp Ez(z)= c + Here, both of the gain constants A 1 and X 2 take in the normal operation approximately the value X1 = X2 z l / b 1 . For our circuit, a = 0.002 and C = 4, whereas b l and b2 have easily implementable values of 1 and 0.5, respectively. This helps to achieve a matching which is better than 0.5% between the modulator blocks. For 01 = 1, A 1 = Xz zz 1. The amplitude responses of the above transfer functions are plotted in Fig. 5 in terms of fs/2, where f s is the output sampling rate of the converter and is related to the input sampling rate fin via f 3 = fjn/64. As seen from Fig. S(a), the signal transfer function does not have a perfectly flat baseband, but the amplitude distortion is equalized by the digital decimation filter, as will be shown in Section V. The numerators of both of the above noise transfer functions are the same and of order 4. They generate one noise-shaping zero-pair at dc and another zero-pair at f = O.01424(Jn/2) = O.9111(fs/2), which is in the baseband, as is desired. Theoretically, the use of a for shifting one zero-pair improves the SNR by 10 dB, resulting in an overall 123 dB SNR. Note that because of oversampling by a factor of 64, the actual noise levels at the converter output (after lowpass filtering and decimation) are in the baseband 0 5 f 5 f,/2 18 dB lower than those of Fig. 5(b). Switched-Capacitor Implementation The SD modulator of Fig. 3 has been implemented using switched-capacitor (SC) technique. The implementation of the first second-order modulator block is depicted in Fig. 6. The second block is similar except for an additional zero-shifting feedback loop. The modulator has a two-phase nonoverlapped clocking scheme with delayed clock signals in the sampling capacitors to reduce distortions [20]. The voltage scaling of SC-filters is a well-known way to optimize circuit overall performance [21]. In the case of SD modulators, the following three facts specific for SD modulators should be taken into account. First, the SD modulator should be modeled as a linear filter before the actual scaling can be performed as shown in Fig. 4 for our modulator. Second, when choosing the minimum capacitor for each integrator, the circuit noise generated by the implemented integrators should be taken into consideration. The minimum capacitor value of the first intergator is larger than those of the following integrators. Third, a significant advantage of SD modulators over conventional SC filters is that the innermost loop gain of the modulator settles approximately to unity (221 ( b l X 1 = b l X 2 z 1 in Fig. 4). The linear function does not zyx zyxwvutsrqponmlkjih zyxwvutsrqpo 1517 RITONIEMI er al.: A STEREO AUDIO SIGMA-DELTA AID-CONVERTER -'%ss- ; zyxwvuts 101 Sellllng accuracy I 1M Fig. 7. Noire as a function of the linear settling accuracy of the integrators. 40, ' ' ' 1 " //" : The voltage scaling of the integrated fourth-order modulator has been accomplished in a such way that each integrator stage has its own unity capacitors of a properly selected size. This gives more freedom for keeping the used overall capacitor area value as small as possible. Performance Limitations zyx zyxwvutsrqponmlkj zyxwvutsrq zyxwvutsrqponmlkjihg -120 l o o w ' 1 .4p0+J -- ' 1 o1 1o' The performance of SD modulators is limited by several error and noise sources. In addition to the system-level errors such as an inaccurate matching and a slow integrator settling, analog noise sources reduce the achievable SNR with the fundamental performance limiting noise source in SC implementations being the thermal ( k T / C )noise generated by capacitors. For a sinusoidal signal, the SNR caused by this noise is given by [23] zyxwvutsr Frequency[FsiP] (b) Fig. 5. Amplitude responses for the transfer functions of the modeled modulator. (a) Signal transfer function H ( 3): (b) error transfer functions E l ( z ) and E ~ ( I ) . SNR = where I/, is maximum sinusoidal signal peak-to-peak value, G, is the size of the sampling capacitor, IC is the ubiquitous Boltzmann's constant, and A4 is the OSR . For our circuit, ,'b = 4V, C, = lOpF, A4 = 64. The used differential architecture improves the SNR by 3 dB, giving for this architecture S N R = 111.9 dB + 3 dB = 114.9 dB. (7) The effect of the settling accuracy of the integrators on the overall output noise is shown in Fig. 7. By assuming a 0.5% gain matching between the two modulator blocks and a integrator settling accuracy of 0.999 (including also the finite dc gain effect), the overall performance can be estimated. The simulated effect of the modulator gain matching on the overall output noise is shown in Fig. 8. These results are summarized in Table I1 which also gives the noise caused by the OTA of the first integrator. Assuming the noise sources to be independent the practically attainable SNR becomes approximately 107 dB. Additional noise sources are the nonlinear settling of integrators, the interference between the analog and digital parts, and the coupling of the power supply to the voltage reference. zyxwvutsrqponm 1 Fig. 6. Circuit diagram for a second-order modulator block. depend on the voltage value before the quantization. This property enables the realization of very selective filters with a small capacitor value spread. IS18 zyx zyxwvutsrqponmlkjihgfed IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL. 29, NO. 12. DECEMBER 1994 zyxwvutsrq zyxwvutsrqponmlkjihg zyxwvutsrqponmlkjihgf I I 0 99 1 1 02 101 Matchingaccuracy zyxwvutsrqponm zyxwvutsrqp Fig. 8. Noise as a function of the modulator gain matching. TABLE 11 NOISE CALCULATIONS T h e r m a l noise, C, = lOpF,A i = 64 , V, = 4V Matching accrirary Iwtweeu Mocks < 0.5% Integrator settling arcurary > 0.999 OTA noise aniplified by 8 dB (cf. Talde I) 1 Over& noise j I zyxwvutsrqponmlkjihgfedcbaZYXW VOUT- -114.9 dB < --114.0dB < -118.9 dB , < -110.0 tlB 1 < -107.3 dB 1 VOUT+ lb12 (b) Fig. 9. Circuit diagrams for folded cascode (a) and current gain (b) OTA’s. OTA Design Most SD modulator implementations have used SC integrators often synthesized using folded-cascode OTA’s [7], [8] because of their fast settling. Due to the (Bi)CMOS technology development, the required settling accuracy for the sampling frequency of 3.072 MHz is nowadays within reach also by several‘other amplifier types. For our circuit, fully differential OTA structures with one-stage settling behavior are preferred since these structures have a good high frequency power supply and common mode rejection that is essential to attenuate disturbances generated by the digital parts. For these strucures, the dominant pole is generated by the capacitively loaded output stage, whereas the other poles are located at relatively high frequencies. The most attractive OTA topologies are folded cascode, current gain, and adaptive biased current gain [24], 1251. These topologies can achieve the desired settling accuracy of 0.1% for the linear part, a large output range ( f 2 V ) , and an over 60 dB gain. The transistor diagrams of these OTA alternatives are depicted in Figs. 9 and 10. The settling time constant for the integrator shown in Fig. 2 is approximately given by [26], r= c*+ c s + CL + (CS+ C,! gm x CL/G , (8) Fig. 10. Circuit diagram for an adaptive biased current gain OTA. step, the current required by the class A OTA is approximately Ib = 2V x 28pF z 3.5mA. r (9) The current drive capability is mostly determining the power consumption of the analog part of the converter. The estimated power consumption of the first integrator as well as that of the overall stereo modulator are calculated in Table I11 for the three topologies. It is seen that the adaptively biased current gain topology gives the lowest power consumption. The other OTA’s in the modulator have smaller load capacitances and their power consumption is approximately half of that of the first integrator. The stereo realization of the modulator needs two large OTA’s and ten smaller OTA’s. The class A OTA can operate using a slightly smaller bias current than expected since its settling has been observed to be more zyxwvutsrqpo zyxwvut For our circuit, r has been selected to be 14 ns to suppress for half the sampling period for the sampling rate of 3.072 MHz the nonlinear part of the settling below -100 dB, that is, e-‘Olr M lo-’ for t o = ;(1/3072000). The first integrator has a total capacitance of 28 pF. Based on this, the required transconductance gm can be evaluated. The settling requirement determines also the required output current. For a 2 V zyxwvutsrqpon zyxwvutsrqpo zyxwvutsrqpo zyxwvutsrqponm RITONIEMI et al.: A STEREO AUDIO SIGMA-DELTA AID-CONVERTER 1519 TABLE 111 ESTIMATED POWER CONSUMPTIONS OF OTA’s zyxwvutsrqponmlkji configuration Curreut gain linear as long as the bias current and the conductance are determined correctly. The schematic of the actual OTA is depicted in Fig. IO. A P-channel input stage is used for reducing the IF-noise. The conductance requirement has forced us to use large input transistors making the IF-noise low. By replacing the Nchannel MOS transistors by bipolar NPN transistors, the IF noise of the OTA can be reduced by approximately 20 dB. The measured total power consumption for the analog part of the stereo modulator is 102 mW. In addition to the OTA power consumption of 20 mW for the reference voltage, this figure includes the consumptions of comparators and clock generators. The use of the adaptive bias has been observed to reduce the power consumption by a factor of four. Fig. I 1. Circuit diagram for a sampled data common mode feedback circuit. Activity of digital part zyxwvutsrq zyxwvutsrqpon Common Mode Feedback Circuit The fully differential OTA’s need a common mode voltage feedback circuit keeping the sum of the outputs at the mid point between the supply rails. The common mode circuit always decreases the performance of the main OTA circuit, increases the power consumption, limits the usable output range, and increases the loading of the amplifier. The class A common mode circuit needs to handle the peak current of the OTA, thus resulting in a high bias current in this application. The actual OTA operates in class A/B. The common mode circuit is also preferred to operate in class A/B in order to get the full benefit of the A/B class operation. The high output impedance of the OTA’s prevents the use of resistive loading circuit structures. From the remaining alternatives, the most attractive structure is the sampled data common mode circuit with the diagram is shown in Fig. 1 1 , [ 181, [27]. The increased capacitive load of the circuit is considerably smaller than the overall load. The structure is easy to implement as long as the clock signals are available for the circuit. The thermal noise generated by the capacitors of the common mode circuit is also common mode noise. This noise contribution can be neglected because it is attenuated very efficiently by the following OTA or comparator stages. IV. DIGITALCOUPLING When integrated on the same die. the interference between the analog and digital parts has been one of the main limiting factors for achieving the desired SNR. The interference caused by the digital part to the analog part can be minimized by using three strategies. First, the fully differential implementation cancels most of the disturbances. Second, the noisiest digital sections are placed far way from the analog input stages. Third, the decimator stages are implemented by using structures that settle fast and allow the substrate to settle before the I 1 cL ANALOGiOCK SWITCH OFF CL2 OTAs are in transient SWITCH OFF Fig. 12. Clock signals of the converter. analog part accepts new input samples. Since sampling can be performed relatively fast during the silence of the digital part [28], the interference becomes negligible. The fast settling of the digital structures can be achieved by limiting the logic depth. By using a synchronous two-phase clocking, a new analog input sample is taken at the end of clock phase one, whereas the digital part starts operation in clock phase two. The clock signals are shown in Fig. 12. The time from the end of clock phase one to the start of clock phase two is long enough for sampling. In a 1.2 pm CMOS technology, the effective sampling aperature time is only approximately 1 ns, which is the turn-off time of a MOS transistor switch. This means that the disturbances after 1 ns from the falling edge of clock one have no effect on the analog part. The measurements do not indicate any disturbances from the digital part to the analog part. There is no difference between the SNR of the overall converters and the SNR calculated in the basedband from 1 bit collected data when the digital part is in reset. The routing of analog power lines and bonding has been implemented sothat the power and signal lines do not inter- 1520 zyxwvu zyxw zyxwvutsrqponml IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL. 29, NO. 12. DECEMBER 1994 Fig. 13. Circuit diagram of a band-gap voltage reference circuit Amplitude response with SDM 0- zyxwvutsrqpo zyxwvutsrq zyxwvutsrqponm tl -20- -40- -60 ~ 2i 0, E-100 a To recude the implementation costs (silicon area, power consumption, and speed), this decimator is synthesized using four stages. The first stage decimating by a factor of 16 is a special tapped structure of six comb filters introduced in [ 131. Compared to conventional comb filter structures [9], [ 141-[ 171, the required silicon area is approximately half because the additional interconnections reduce the number of feedback and feedforward terms as well as the number of bits required in internal calculations. Following this stage, an FIR filter of length 7 is used to equalize the passband distortion caused by the first filter stage and the modulator. Finally, two halfband FIR filters of lengths 31 and 167 and decimating by two are used to take care of the rest of the decimation process. In the hardwired filter realization, common arithmetic is used for both channels, resulting in a clock frequency of two times the sampling frequency of the analog part. The common arithmetic saves considerably the silicon area especially for a bit-parallel section. The comb filter part uses cany-save parallel integrators, and other parts use a bit-serial architecture. The last three filter stages are implemented in transposed form. Instead of using a general multiplier element, the silicon area is drastically reduced by generating simultaneously all the filter coefficients using a network minimizing the overall number of shift and add operations. In this network, each shift and add is realized only once and the partial products are reused such that the combined sums of these products realize the final filter coefficient values. This approach permits the realization of 22 bit coefficient values using on the average three 1 bit adders for a coefficient. The maximum logic depth is 7 full adders on the signal path, resulting in a 15 ns settling time for the digital part. For the last two filter stage, polyphase structures are used to reduce the number of data memory locations. The digital part has a serial interface to the most common signal processors, and a serial AES-EBU interface for audio equipments. -80 -120CI -140 -160 0 5 10 15 20 Frequency (Fs) 25 30 zyxwvut zyxwv zyxwvuts zyxwvutsrqp Fig. 14. Amplitude response of the decimation filter ference. A/B class OTA’s generate spikes to the power lines and thus the additional care must be taken into the bonding and supply routing. The voltage reference, shown in Fig. 13, is bypassed outside of the converter, which reduces the low frequency impedance of the voltage reference. The converter circuit has been synthesized such that it has a constant loading of the voltage reference independent of the input signal. V. DECIMATION FILTER The linear-phase FIR decimator with OSR of 64 provides at least a 120 dB attenuation for those frequency components aliasing into the passband with edge at 0.454fS, where f 3 is the output sampling rate. The stopband region is thus [0.546f s . 32 f s ] and the minimum attenuation in this reagion is at least 120 dB. For f S = 44.1 kHz, the passband and stopband edges are located at 20 and 24.05 kHz, respectively. The amplitude response of the overall decimator is depicted in Fig. 14 together with the passband response of the overall system including the modulator response. The passband ripple is less than 0.0003 dB. VI. MEASUREDCHARACTERISTICS The circuit operates properly at output sampling rates in the range 1 kHz 5 f S 5 150 kHz with the maximum being limited by the analog part. The digital part alone works well up to f s = 500 kHz. For 1 kHz 5 f S 5 50 kHz, the circuit performance is practically independent of f s . At higher sampling rates the noise and distortions increase. At f S = 100 kHz, the SNR is 87 dB and the harmonic distortion is -75 dB. The circuit performance at the nominal f s = 48 kHz is summarized in Table IV. The circuit operates properly for the power supply voltages from 2.9 V to 5.5 V. The 3 V operation needs an external 1.5 V voltage reference. For the 3 V supply, the harmonic distortion is -65 dB and SNR is 93 dB, which is only 4 dB less than that for the 5 V supply. For the 5 V power supply, the circuit consumes 180 mW, 100 mW for the analog part and 80 mW for the digital part (88 000 transistors). For the 3 V supply, the corresponding figures are 55 mW and 30 mW. The measured SNR for the overall circuit is 97 dB. The output spectrum of the converter is shown in Fig. 15. The die size of the circuit is 4.7 mm x 5.5 mm using a 1.2 pm double- zyxwvutsrqponmlkji zyxwvutsrqpon 1521 RlTONlEMl ef al.: A STEREO AUDIO SIGMA-DELTA AX-CONVERTER zyxwvutsrq TABLE IV CIRCUIT PERFORMANCE Filter passhand ripple Filter stop1,and rejection ~ ~~~ 5-V power supply < 0.0003 dB > 120 dB hiput range (differential) f 4 V SNR 97 dB Power dissipation 180 IUW 0 Analog part 102 lllW 0 Dinital part 78 iiiw zyxwvutsr 3-V power supply with external Kef = 1.5 V Input range (differential) f 2 . 4 V SNR 93 dB Power dissipation 85 lllW a Aiialog part 55 lllW 0 Digital part 30 iriW 167 TAP FIR RIGHT CH MODULATOR Fig. 16. Photomicrograph of the circuit. 05 1 zyxwv zyxwvutsrqponmlkji 15 frequency Hz Fig. IS. 2) A fourth-order cascaded modulator with one noiseshaping zero-pair at dc and another in the baseband has been synthesized such that the disturbances and circuit noise caused by the practical integration are made very small. 3) A highly selective decimator has been implemented in a very small silicon area using new structures and special bit-serial networks. 4) The power consumption and the operating voltage are low (180 mW and 5Vj. 5 ) The SNR is almost 100 dB. 6) The circuit operates also with a 3 V power supply achieving a 93 dB SNR with a power consumption of 85 mW. 7) The overall circuit die area is only 4.7 mm x 5.5 mm using a 1.2 p m double-poly BiCMOS process. 2 x in‘ Measured output spectrum of the converter. poly BiCMOS process. The photomicrograph of the circuit is depicted in Fig. 16. The theoretical performance was not achieved. The most probable limiting factors for the overall performance are the nonlinear part of integrator settling and the supply coupling of AB-class OTA’s and voltage reference lines. VII. CONCLUSION ACKNOWLEDGMENT zyxwvut zyxwvutsr This paper has introduced an efficient stereo SD A/Dconverter chip for audio applications. The main advantages of this circuit compared to other existing designs are: 1j Both the modulator and the decimation filter have been implemented on the same die by minimizing the inteference caused by the digital part to the modulator at the sampling intervals. The authors thank A. Hopper and V. Kempe from Austria Mikro Systeme for valuable comments and contribution to this project. They also wish to thank the Median-Free Group International for excellent working atmosphere and fruitful discussions during the course of this work. REFERENCES [ 11 W. L. Lee and C. G. Sodini, “A topology for higher order interpolative coders,” in Proc. 1987 IEEE In;. Symp. Circuits Sysr. (Philadelphia, PA), May 1987, pp. 459462. [2] D. R. Welland et al., “A stereo 16-bit delta-sigma A/D converter for digital audio,” J . Audio Eng. Soc., vol. 37, pp. 467-486, June 1989: also reorinted in Oversamding . Delta-Siwma Data Converters: c. 1522 zyxw zyxwvutsrqpon zyxwvutsrqpo zyxwvutsr zyxwvutsrqponm zyxwvut zyxwvutsrqpon zyxwvutsrqpo IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL. 29, NO. 12, DECEMBER 1994 Theory, Design and Simulations, J. C. Candy and G . C. Temes, Eds. Piscataway, NJ: IEEE Press, 1991, pp. 36.5-374. P. Ferguson et al., “An 18b 20Mz dual EA AID converter.” in Proc. 1991 IEEE Solid-Sfafe Circ. Con$ (San Fransisco, CA), Feb. 1991, pp. 68-69. T. Ritoniemi, T. Karema, and H. Tenhunen, “A fifth order sigma-delta modulator for audio A/D-converter,” in Proc. 1991 IEE Inter. Conf Anal. Digit. Digit. Anal. Cant (Swansea, UK), Sept. 1991, pp. 153-158. T. Karema, T. Ritoniemi, and H. Tenhunen, “Fourth order sigma-delta modulator for digital audio and ISDN applications,” in Proc. IEE Euro. Con$ Circ. Theory andDesign (Brighton, UK), Sept. 1989, pp. 223-227. Y. Matsuya et al. “A 16-bit oversampling A-to-D conversion technology using triple-integration noise shaping,” IEEE J. Solid-State Circ., vol. SC-22, pp. 921-929, Dec. 1987; also reprinted in Oversampling DeltaSigma Data Converters: Theory, Design and Simulations, J. C. Candy and G. C. Temes, Eds. Piscataway, NJ: IEEE Press, 1991, pp. 237-244. M. Rebeschini, et al. “A high-resolution CMOS sigma-delta A/D converter with 320 kHz output rate,” in Proc. 1989 IEEE Int. Symp. Circuifs Syst. (Portland, OR), May 1989, pp. 246-249; also reprinted in Oversampling Delta-Sigma Data Converters: Theory. Design and Simulations, J. C. Candy and G. C. Temes, Eds. Piscataway, NJ: IEEE Press, 1991, pp. 359-362. S. R. Norsworthy, I. G. Post, and H. S. Fetterman, “A 14-bit 80kHz sigma-delta A/D converter: Modeling, design, and performance evaluation,” IEEE J. Solid-State Circ., vol. SC-24, pp. 256266, Dec. 1989; also reprinted in Oversampling Delta-Sigma Data Converfers: Theory, Design and Simulations, J. C. Candy and G. C. Temes, Eds. Piscataway, NJ: IEEE Press, 1991. pp. 342-352. T. Saramaki and H. Tenhunen, “Efficient VLSI-realizable decimators for a sigma-delta analog-to-digital converter,” in Proc. 1988 IEEE Int. Symp. CircuitsS)~st.(Espoo, Finland), June 1988, pp. 1525-1528; also reprinted in Oversampling Delta-Sigma Data Converfers: Theory, Design and Simulations J. C. Candy and G. C. Temes, Eds. Piscataway, NJ: IEEE Press, 1991, pp. 471474. T. Saram&i, H. Palomaki, and H. Tenhunen, “Multiplier-free decimators with efficient VLSI implementation for sigma-delta A/D converters,” presented at IEEE Workshop on VLSI Signal Processing (Monterey, CA). Nov. 1988; included in VLSI Signal Processing 111, R. W. Brodersen and H. S. Moscovitz, Eds. New York: IEEE Press, 1988, pp. 523-534. T. Saramaki, T. Karema, T. Ritoniemi. and H. Tenhunen, “Multiplierfree decimator algorithms for superresolution oversampled converters,” in Proc. 1990 IEEE Inf. Svmp. . . Circuit., Svsf. (New Orleans, LA), May 1990, pp. 3275-3278. T. Ritoniemi, “High I-bit sigma delta modulators,” in Analog - speed . Circuit Design, J. H. Huijsing, R. J. van der Plassche, and W. Sansen, Eds. Dordrecht, The Netherlands: Kluwer, pp. 225-238. T. Saramaki and T. Ritoniemi, “Tapped camp filters for decimation” in Proc. 5th Infer. Symp. IC Tech., STst. & Applic. (Singapore), pp. Sept. 1993, pp. 4 3 5 4 0 . E. B. Hogenauer, “An economical class of digital filters for decimation and interpolation,” in IEEE Trans. Acoust.. Speech, Signal Proc., vol. ASSP-29, pp. 155-162, Apr. 1981. T. Saramaki, “Efficient recursive digital filters for sampling rate conversion,” in Proc. 1983 IEEE Int. Svmp. Circuifs Sysf. (Newport Beach, CA), May 1983, pp. 1322-1326. S. Chu and C. S. Burrus, “Multirate filter design using comb filters,” IEEE Trans. Circuits Syst.. vol. CAS-31, pp. 913-924, Nov. 1984: also reprinted in Oversampling Delfa-Sigma Data Converfers; Theory, Design and Simulations, J. c . Candy and G. c. Temes, Eds. Piscataway, NJ: IEEE Press, 199 I , pp. 4 0 5 4 16. E. Dijkstra, 0. Nys. C. Pipet, and M. Degrauwe “On the use of modulo arithmetic comb filters in sigma delta modulators,” in Proc. I988 IEEE Int. Coni Acousf., Speech. Signal Proc. (New York), pp. 2001-2004, Apr. 1988; also reprinted in Oversampling Delta-Sigma Data Converters: Theory, Design and Simulation.r, J. C. Candy and G. C. Temes, Eds.. Piscataway, NJ: IEEE Press, 1991, pp. 457460. R. Castello, “Low-voltage low-power MOS switched-capacitor signalprocessing techniques,” Ph. D. Dissertation, University of California, Berkeley, Dec. 1984. I. C. Candy and 0. J. Benjamin, “The structure of quantization noise from sigma-delta modulation,” IEEE Trans. Commun., vol. COM-29, pp. 1316-1323, Sept. 1981; also reprinted in Oversampling Delfa-Sigmu Data Converters: Theory. Design und Simulations, J. C . Candy and G. C. Temes, Eds. Piscataway, NJ: IEEE Press, 1991, pp. 52-59. D. G. Haigh and B. Singh, “A switching scheme for switch capacitor filters which reduces the effect of parasitic capacitances associated with switch control terminals,” in Proc. 1983 IEEE Inf. Symp. Circuits Sysf. (Newport Beach, CA), May 1983, pp. 586-589. [21] R. Gregorian and G. Temes, Analog MOS Zntegrated Circuitsfor Signal Processing. New York: Wiley, 1986, pp. 339-350. [22] T. Ritoniemi, “High-order I-bit sigma-delta converters,” in Proc. IEE European Con$ Circ. Theory and Design (Davos, Switzerland), Sept. 1993, pp. 1589-1594. [23] M. W. Hauser, “Technology scaling and performance limitations in delta-sigma analog-digital converters,” in Proc. 1990 IEEE Int. Symp. Circuits Sysf. (New Orleans, LA), May 1990, pp. 356-3.59; also reprinted in Oversumpling Delta-Sigma Data Converters: Theory, Design and Simulations, J. C. Candy and G. C. Temes, Eds. Piscataway, NJ: IEEE Press, 1991, pp. 219-222. 1241 M. G. Degrauwe, J. Rijmenants, E. A. Vittoz, and H. J. De Man, “Adaptive biasing CMOS amplifiers” IEEE J. Solid-State Circ., vol. SC-17, pp. 522-528, June 1982. 1251 M. G . Degrauwe and W. Sansen, “Novel adaptive biasing amplifiers” Electron. Lefr., vol. 19, pp. 92-93, Feb 1983. 126) K. Bult and G. J. G. M. Geelen, “The CMOS gain-boosting technique,” in Analog Circuit Design, J . H. Huijsing, R. J. van der Plassche, and W. Sansen, Eds. Dordrecht, The Netherlands: Kluwer, pp. 87-1 12. [27] D. Senderowitcz, S. F. Dreyer, J. H. Huggins, C. F. Rahim, and C.A. Laber “A family of differential NMOS analog circuits for a PCM codec filter chip” IEEE J. Solid-Stare Circ., vol. SC-17, pp. 1014-1023, Dec. 1982. 1281 E. A. Vittoz, “Dynamic analog techniques,” in Design of MOS V U 1 Circuits f o r Telecommunications, Y . Tsividis and P. Antognetti, Eds. Englewood Cliffs, NJ: Prentice-Hall, 1985, pp. 145-170. Tapani Ritoniemi was born in Finland in 1964. He has received the degree of Diploma Engineer in electrical engineering from the Tampere University of Technology. He is currently completing doctoral studies. He is a co-founder and the CEO of VLSI Solution Oy, Tampere, Finland. His research interests are in the areas of sigma-delta modulation, digital and analog filtering, and VLSI design. Mr. Ritoniemi has published over 20 international articles and holds several patents. He is a member of the Median-Free Grc)up International. zyxwvutsrqponm I,,! Eero Pajarre was born in Finland in1967. He received the degree of Diploma Engineer in electrical engineering from Tampere University of Technology in 1990. He is currently a graduate student at Tampere University of Technology. His research interests include VLSI CAD tools. He is a co-founder of VLSI Solution Oy. Mi. Pajarre is a member of the Median-Free Group International. Seppo Ingalsuo was born in Finland 1966. He received the degree of Diploma Engineer in electrical engineering from Tampere University of Technology. He is currently a graduate student. He is a co-founder of VLSI Solution Oy. He is currently employed in Nokia Mobile Phones Ltd. Mr. Ingalsuo is a member of the Median-Free Group International. zyxw zyxwvutsrqponml zyxwvutsrqpo RITONlEMl et ai.: A STEREO AUDIO SIGMA-DELTA A/D-CONVERTER T h o Husu was bom in Finland 1966. He is finishing the degree of Diploma Engineer in electrical engineering at Tampere University of Technology. He is currently with VLSI Solution Oy. Mr. Husu is a member of the Median-Free Group International. Ville Eerola (S’93) was horn in Finland in 1967. He has received the degree of Diploma Engineer in electrical engineering from Tampere University of Technology in 1990. Presently, he is a graduate student at Tampere University of Technology. His research interests include spread spectrum communications and signal processing in communication systems. He is a co-founder of VLSI Solution OY. Mr. Eerola is a member of the Median-Free Group Intemational. 1523 Tapio Saramaki was born in Orivesi, Finland, on June 12, 1953. He has received the degrees of Diploma Engineer (with honors) and Doctor of Technology (with honors) in electrical engineering from the Tampere University of Technology, Tampere, Finland, in 1978 and 1981, respectively. Since 1977, he has been with the Department of Electrical Engineering at Tampere University of Technology. From 1979 to 1981, he served as a research assistant, and from 1982 to 1986 he served as a research fellow, both financed by the Academy of Finland. Since 1987, he has held various research and teaching positions at Tampere University of Technology. Currently, he is a Docent of Telecommunications and an Associate Professor of Signal Processing. He is also a co-founder and a system-level designer of VLSI Solution Oy specializing in VLSI implementations of sigma-delta modulators and signal processing algorithms. In 1982, 1985, 1986, and 1990, he was a visiting research scholar at the University of California, Santa Barbara. Dr. Saramaki has written more than 100 international journal and conference articles. He received the 1987 Guillemin-Cauer Award for the best paper of the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. His research interests are in the areas of digital signal processing, approximation theory. and VLSI implementations of signal processing algorithms. He is a founding member of the Median-Free Group International.
Keep reading this paper — and 50 million others — with a free Academia account
Used by leading Academics
Forrest Brewer
University of California, Santa Barbara
Jerzy W Rozenblit
The University of Arizona
Sotirios Xydis
National Technical University of Athens
Marjorie Skubic
University of Missouri Columbia