Bibek Kabi
Ecole polytechnique palaiseau, Laboratoire d'Informatique, Department Member
- Indian Institute of Technology Kharagpur, Advanced Technology Development Center, Department Memberadd
Research Interests:
Predominantly all signal processing algorithms are developed with floating-point arithmetic. However for low power and real-time applications they are finally implemented on embedded systems with fixed-point arithmetic. Implementation of... more
Predominantly all signal processing algorithms are
developed with floating-point arithmetic. However for low power
and real-time applications they are finally implemented on
embedded systems with fixed-point arithmetic. Implementation
of signal processing algorithm in fixed-point arithmetic involves
a floating-point to fixed-point conversion process. Wordlength
optimization plays a significant role in this conversion process,
reducing area, power and latency while maintaining the accuracy
constraint. Simulation and analytical approaches are two techniques
used for optimizing the wordlengths. In simulation based
approach a new fixed-point simulation is required to run for
every modified wordlength. Bit true (fixed-point) simulations are
not necessary to run for analytical based wordlength optimization
methods. Therefore this approach requires the derivation of the
cost model and the performance (signal to quantization noise
ratio) as a function of wordlengths of different variables of the
algorithm. Hence in this paper we have carried out a detailed
study on the derivation of the cost model for fixed-point FFT
algorithm. Cost models under various quantization modes are
discussed and compared.
developed with floating-point arithmetic. However for low power
and real-time applications they are finally implemented on
embedded systems with fixed-point arithmetic. Implementation
of signal processing algorithm in fixed-point arithmetic involves
a floating-point to fixed-point conversion process. Wordlength
optimization plays a significant role in this conversion process,
reducing area, power and latency while maintaining the accuracy
constraint. Simulation and analytical approaches are two techniques
used for optimizing the wordlengths. In simulation based
approach a new fixed-point simulation is required to run for
every modified wordlength. Bit true (fixed-point) simulations are
not necessary to run for analytical based wordlength optimization
methods. Therefore this approach requires the derivation of the
cost model and the performance (signal to quantization noise
ratio) as a function of wordlengths of different variables of the
algorithm. Hence in this paper we have carried out a detailed
study on the derivation of the cost model for fixed-point FFT
algorithm. Cost models under various quantization modes are
discussed and compared.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
This paper provides a theoretical approach in the stabilization of a four rotor UAV using a dynamics model. We performed various simulations in open and closed loop platforms and implemented several experiments on the miniature VTOL... more
This paper provides a theoretical approach in the stabilization of a four rotor UAV using a dynamics model. We performed various simulations in open and closed loop platforms and implemented several experiments on the miniature VTOL system. The vehicle feedback system uses an Inertial Measurement Unit (IMU).A state space variable model of the vehicle dynamics is presented here in the literature. In order to explain this system, we have developed a simulink based model for the PID controller. Also various control techniques like Neural Networks which will enhance the system performance are proposed.