Low Power Realization of FIR Filters Using Optimization Techniques

In this paper an algorithm for optimizing coefficients of a Finite Impulse Response (FIR) filter, so as to reduce power dissipation of its implementation on a programmable Digital Signal Processor is presented. We then present an algorithm that optimizes coefficients so as to minimize the Hamming distance and signal toggling. Two such techniques „Steepest descent‟ and „Genetic Algorithm‟ are presented to minimize these measures of power dissipation .Experimental results on a FIR filter example show that the Genetic coefficient optimization algorithm results is best in reduction of the total Hamming distance and total number of signal toggles than Steepest descent.