A Review of High Throughput FIR Filter Design

Abstract

Abstract: Advancements in Finite Impulse Response (FIR) filter design have significantly propelled the field of Digital Signal Processing (DSP), addressing the increasing need for high-performance and efficient digital filters. FIR filters are renowned for their stability, linear phase response, and computational efficiency, making them indispensable in applications such as image filtering and frequency modulation. Their inherent advantages, including the ability to leverage Fast Fourier Transformation (FFT) techniques and minimal finite precision arithmetic errors, often make them preferable over Infinite Impulse Response (IIR) filters. Recent research efforts have focused on algorithmic and hardware modifications to optimize FIR filter architectures, employing techniques such as retiming, pipelining, and parallel processing. This paper explores various design techniques and architectures aimed at optimizing FIR filter performance. Additionally, the role of high-speed adder structures, like carry-lookahead adders, is examined for their impact on enhancing digital filter efficiency and the critical role of continuous exploration and optimization in FIR filter design to advance DSP. By addressing the demands of modern technology, these innovations foster the development of high-performance, efficient digital filters, essential for diverse applications and the ongoing progression of digital signal processing.