Fixed Point Lms Adaptive Filter Using Partial Product Generator

Abstract

The area and power efficiency is very important for every circuit and its applications. Here I present an efficient architecture of adaptive filter with partial product generator and delayed lms algorithm is also used. By using improved adder structure the area power efficiency can be increased. An adaptive algorithm is a procedure for adjusting the parameters of an adaptive filter to minimize a cost function chosen for the task at hand. We use Xilinx 14.5 to provide VHDL coding for our architecture. Two main part in the adaptive filter system are error computation block and weight update block. The error computation block will calculate the new error values, function weight update block is calculate new weight from the error value computed from the error update block.

Authors and Affiliations

Vidyamol S

Keywords

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  • EP ID EP28265
  • DOI -
  • Views 277
  • Downloads 2

How To Cite

Vidyamol S (2015). Fixed Point Lms Adaptive Filter Using Partial Product Generator. International Journal of Research in Computer and Communication Technology, 4(9), -. https://europub.co.uk./articles/-A-28265