Realization of modified low power and area efficient reconfigurable fir filter

Abstract

The project presents design of low power and area efficient FIR filter using LMS (Least Mean Square) Algorithm. Least Mean Squares algorithm used in many DSP applications to process the signal and designed for generating filter coefficients based on the processed signal. The proposed method reduces the power consumption and area due to adaptation of the weights generated internally according to the corrected output and previous weights. The weights area calculated using LMS algorithm. The variable filter is an FIR filter due to its stability, which has larger amplitude variations in input data and filter coefficients. As filtering part is the major contributor of power in an adaptive system, cancellation of multiplication will cause a significant.