Research Interests:
Research Interests:
Research Interests:
Research Interests: Mechanical Engineering, Applied Mathematics, Optimal Control, Algorithm, Estimation Theory, and 15 moreStochastic processes, Kalman Filter, State Space, Projection, Adaptive Filter, Adaptive Filters, Innovation process, FACTORISATION, Matrix factorization, Factorization, Second Order, Vectors, Filtering, Hilbert Space, and Electrical And Electronic Engineering
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests: Mechanical Engineering, Applied Mathematics, Optimal Control, Algorithm, Estimation Theory, and 15 moreStochastic processes, Kalman Filter, State Space, Projection, Adaptive Filter, Adaptive Filters, Innovation process, FACTORISATION, Matrix factorization, Factorization, Second Order, Vectors, Filtering, Hilbert Space, and Electrical And Electronic Engineering
Research Interests: Signal Processing, Convergence, Stability, Algorithm, Multidisciplinary, and 20 moreAdaptive Filtering, Uncertainty, Stability Analysis, Feedback, Convergence Rate, Adaptive Filter, Transfer Function, Adaptive Filters, Robustness, Model Uncertainty, Information Analysis, Numerical Stability, Filtering, Operators, Digital Filters, Gradient Method, Time Domain, Time Domain Analysis, Transfer Functions, and Small Gain Theorem
Research Interests:
Page 1. WA3-10:40 PtocMdlngs of Ни 32nd СопМппм on DtcMon and Control San Antonio, Tan Dwombor 1МЭ LMS IS H°° OPTIMAL * Babak Hassibi, Ali H. Sayed* and Thomas Kailath Information Systems Laboratory, Stanford University, CA 94305, USA.... more
Page 1. WA3-10:40 PtocMdlngs of Ни 32nd СопМппм on DtcMon and Control San Antonio, Tan Dwombor 1МЭ LMS IS H°° OPTIMAL * Babak Hassibi, Ali H. Sayed* and Thomas Kailath Information Systems Laboratory, Stanford University, CA 94305, USA. ...
Research Interests:
Research Interests:
... [2] B. Hassibi, AH Sayed, and T. Kailath. Indefinite Quadratic Estimation and Control: A Unified Approach to H2 and% oo Theories. SIAM, PA, 1999. [3] AH Sayed, VH Nascimento, and S. Chandrasekaran. Estimation and control with bounded... more
... [2] B. Hassibi, AH Sayed, and T. Kailath. Indefinite Quadratic Estimation and Control: A Unified Approach to H2 and% oo Theories. SIAM, PA, 1999. [3] AH Sayed, VH Nascimento, and S. Chandrasekaran. Estimation and control with bounded data uncertainties. ...
Research Interests: Signal Processing, Convergence, Stability, Algorithm, Multidisciplinary, and 20 moreAdaptive Filtering, Uncertainty, Stability Analysis, Feedback, Convergence Rate, Adaptive Filter, Transfer Function, Adaptive Filters, Robustness, Model Uncertainty, Information Analysis, Numerical Stability, Filtering, Operators, Digital Filters, Gradient Method, Time Domain, Time Domain Analysis, Transfer Functions, and Small Gain Theorem
Research Interests: Statistics, Signal Processing, Energy Conservation, Multidisciplinary, Estimation Theory, and 17 moreSimulation, Performance Analysis, Noise, Diffusion, Transient analysis, Minimum variance, Adaptive Filter, Theoretical Analysis, Steady state, Adaptive Filters, Robustness, Least Mean Square, Spatial Variation, Cooperative Systems, Combination, Convex Combination, and LMS Algorithm
Research Interests:
Page 1. WA3-10:40 PtocMdlngs of Ни 32nd СопМппм on DtcMon and Control San Antonio, Tan Dwombor 1МЭ LMS IS H°° OPTIMAL * Babak Hassibi, Ali H. Sayed* and Thomas Kailath Information Systems Laboratory, Stanford University, CA 94305, USA.... more
Page 1. WA3-10:40 PtocMdlngs of Ни 32nd СопМппм on DtcMon and Control San Antonio, Tan Dwombor 1МЭ LMS IS H°° OPTIMAL * Babak Hassibi, Ali H. Sayed* and Thomas Kailath Information Systems Laboratory, Stanford University, CA 94305, USA. ...
Adaptive networks (AN) have been recently proposed to address distributed estimation problems [1]-[4]. Here we extend prior work to changing topologies and data-normalized algorithms. The resulting framework may also treat signals with... more
Adaptive networks (AN) have been recently proposed to address distributed estimation problems [1]-[4]. Here we extend prior work to changing topologies and data-normalized algorithms. The resulting framework may also treat signals with general distributions, rather than Gaussian, provided that certain data statistical moments are known. A byproduct of this formulation is a probabilistic diffusion adaptive network: a simpler yet robust
Research Interests:
... [2] B. Hassibi, AH Sayed, and T. Kailath. Indefinite Quadratic Estimation and Control: A Unified Approach to H2 and% oo Theories. SIAM, PA, 1999. [3] AH Sayed, VH Nascimento, and S. Chandrasekaran. Estimation and control with bounded... more
... [2] B. Hassibi, AH Sayed, and T. Kailath. Indefinite Quadratic Estimation and Control: A Unified Approach to H2 and% oo Theories. SIAM, PA, 1999. [3] AH Sayed, VH Nascimento, and S. Chandrasekaran. Estimation and control with bounded data uncertainties. ...
We study the mean-square performance of a diffusion least mean-squares protocol proposed in recent work to address the problem of distributed estimation [1, 2]. By relying on energy conservation arguments [8] we derive closed form... more
We study the mean-square performance of a diffusion least mean-squares protocol proposed in recent work to address the problem of distributed estimation [1, 2]. By relying on energy conservation arguments [8] we derive closed form expressions for the mean-square deviation (MSD) and the excess mean-square error (EMSE) of the adaptive network. Examples show a good agreement between simulations and theory.
Research Interests:
Research Interests: Statistics, Signal Processing, Energy Conservation, Multidisciplinary, Estimation Theory, and 17 moreSimulation, Performance Analysis, Noise, Diffusion, Transient analysis, Minimum variance, Adaptive Filter, Theoretical Analysis, Steady state, Adaptive Filters, Robustness, Least Mean Square, Spatial Variation, Cooperative Systems, Combination, Convex Combination, and LMS Algorithm
Research Interests:
Wireless location refers to obtaining the position information of a mobile subscriber in a cellular environment. Such position information is usually given in terms of geographic coordinates of the mobile subscriber with respect to a... more
Wireless location refers to obtaining the position information of a mobile subscriber in a cellular environment. Such position information is usually given in terms of geographic coordinates of the mobile subscriber with respect to a reference point. Wireless location is ...
Research Interests:
Adaptive networks (AN) have been recently proposed to address distributed estimation problems [1]-[4]. Here we extend prior work to changing topologies and data-normalized algorithms. The resulting framework may also treat signals with... more
Adaptive networks (AN) have been recently proposed to address distributed estimation problems [1]-[4]. Here we extend prior work to changing topologies and data-normalized algorithms. The resulting framework may also treat signals with general distributions, rather than Gaussian, provided that certain data statistical moments are known. A byproduct of this formulation is a probabilistic diffusion adaptive network: a simpler yet robust
Research Interests:
Research Interests:
This paper proposes a new approach to the analysis of the steady-state performance of constant modulus algorithms (CMA), which are among the most popular adaptive schemes for blind equalization. A major feature of the proposed feedback... more
This paper proposes a new approach to the analysis of the steady-state performance of constant modulus algorithms (CMA), which are among the most popular adaptive schemes for blind equalization. A major feature of the proposed feedback approach is that it bypasses the need for working directly with the weight error covariance matrix. In so doing, approximate expressions for the steady-state mean-square error of several CM algorithms are derived, including CMA2-2, CMA1-2, normalized CMA, and a new normalized CMA variant with less bias. A comparison among the various algorithms is also performed, along with several simulation results. The conclusions confirm the superior performance of CMA2-2
Research Interests:
We study the mean-square performance of a diffusion least mean-squares protocol proposed in recent work to address the problem of distributed estimation [1, 2]. By relying on energy conservation arguments [8] we derive closed form... more
We study the mean-square performance of a diffusion least mean-squares protocol proposed in recent work to address the problem of distributed estimation [1, 2]. By relying on energy conservation arguments [8] we derive closed form expressions for the mean-square deviation (MSD) and the excess mean-square error (EMSE) of the adaptive network. Examples show a good agreement between simulations and theory.
Research Interests:
Research Interests: Mechanical Engineering, Applied Mathematics, Optimal Control, Algorithm, Estimation Theory, and 15 moreStochastic processes, Kalman Filter, State Space, Projection, Adaptive Filter, Adaptive Filters, Innovation process, FACTORISATION, Matrix factorization, Factorization, Second Order, Vectors, Filtering, Hilbert Space, and Electrical And Electronic Engineering
Page 1. IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 9, SEPTEMBER 2005 3583 MIMO OFDM Receivers for Systems With IQ Imbalances Alireza Tarighat, Student Member, IEEE, and Ali H. Sayed, Fellow, IEEE ...
Research Interests:
Wireless location refers to obtaining the position information of a mobile subscriber in a cellular environment. Such position information is usually given in terms of geographic coordinates of the mobile subscriber with respect to a... more
Wireless location refers to obtaining the position information of a mobile subscriber in a cellular environment. Such position information is usually given in terms of geographic coordinates of the mobile subscriber with respect to a reference point. Wireless location is ...
... 18]. In this letter we focus on form ((2.3) and (2.4)). The following result is proven in [16 and 18]. In the rest of the paper, the notation X denotes the pseudo-inverse of X. Theorem 2.1 Sayed and Nascimento [16]. Problem (2.3 ...
Research Interests:
This paper proposes a new approach to the analysis of the steady-state performance of constant modulus algorithms (CMA), which are among the most popular adaptive schemes for blind equalization. A major feature of the proposed feedback... more
This paper proposes a new approach to the analysis of the steady-state performance of constant modulus algorithms (CMA), which are among the most popular adaptive schemes for blind equalization. A major feature of the proposed feedback approach is that it bypasses the need for working directly with the weight error covariance matrix. In so doing, approximate expressions for the steady-state mean-square error of several CM algorithms are derived, including CMA2-2, CMA1-2, normalized CMA, and a new normalized CMA variant with less bias. A comparison among the various algorithms is also performed, along with several simulation results. The conclusions confirm the superior performance of CMA2-2
Research Interests:
Research Interests:
Research Interests:
Page 1. IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 9, SEPTEMBER 2005 3583 MIMO OFDM Receivers for Systems With IQ Imbalances Alireza Tarighat, Student Member, IEEE, and Ali H. Sayed, Fellow, IEEE ...
Research Interests:
Research Interests:
... 18]. In this letter we focus on form ((2.3) and (2.4)). The following result is proven in [16 and 18]. In the rest of the paper, the notation X denotes the pseudo-inverse of X. Theorem 2.1 Sayed and Nascimento [16]. Problem (2.3 ...