Boosting FIR Filter Performance: A Novel Approach Using Approximate Kogge-Stone Adders and Vedic Multipliers

Abstract

The efficiency of multipliers is crucial in digital signal processing. Vedic multiplication algorithms offer exceptional speed and performance advantages. This study compares the area, power, and timing attributes of different models and shows optimized performance in the proposed model. The parameters of power, area, and timing improved by 31.94%, 30.59%, and 1.03%, respectively, when comparing adders. Conversely, when compared with filters, these parameters show a more modest enhancement of 8.72%, 6.9%, and 0.76%, respectively. This realistic comparison underscores the practicality of our research findings.