Using Multipliers for Optimal Performance in FIR Filter Implementation

Abstract

Digital filters play a pivotal role in various signal-processing applications, ranging from telecommunications to audio processing and beyond. The efficiency and performance of these filters heavily rely on the underlying implementation techniques. This study focuses on leveraging multiplier-based architectures to achieve optimal performance in digital filter implementations. Traditional digital filters utilize adders and shifters in their implementations, commonly known as finite impulse response (FIR) and infinite impulse response (IIR) filters. However, advancements in integrated circuit design and hardware capabilities have enabled the integration of dedicated hardware multipliers, presenting an opportunity for more efficient filter implementations.