Area And Power Efficient LMS Adaptive Filter With Low Adaptation Delay

We present an efficient architecture for the implementation of delayed least mean square adaptive filter. We use a novel partial product generator and propose a strategy for optimized balanced pipelining across the time consuming combinational blocks of the structure .An efficient systolic architecture of the delayed least mean square adaptive filter based on the processing element .We propose an efficient fixed point implementation of the proposed architecture ,and derive the expression for steady-state error. The architecture is synthesized by using a number of function preserving transformations on the signal flow graph representation of the delayed LMS algorithm. Key wordsSystolic architecture, least mean square (LMS) algorithm, adaptive filters, Fixed-Point LMS Algorithm, LMS Adaptive Filtering