An Iterated Hybrid Fast Parallel FIR Filter

TL;DR

This paper introduces a novel iterated hybrid fast parallel FIR filter architecture that reduces hardware complexity and the number of additions needed, improving efficiency in digital signal processing applications.

Contribution

The paper presents a new hybrid iterated fast FIR filter design combining transposed and direct-form approaches, which has not been previously reported.

Findings

Requires fewer additions than prior methods

Reduces hardware complexity

Enhances computational efficiency in DSP applications

Abstract

This paper revisits the design and optimization of parallel fast finite impulse response (FIR) filters using polyphase decomposition and iterated fast FIR algorithms (FFAs). Parallel FIR filtering enhances computational efficiency and throughput in digital signal processing (DSP) applications by enabling the simultaneous processing of multiple input samples. We revisit a prior approach to design of fast parallel filter architectures by using the iterated FFA approach where the same primitive filter, such as 2-parallel, is iterated to design the fast parallel filter. In this paper, we present yet another novel iterated fast parallel FIR filter, referred to as the fast hybrid filter. The hybrid filter iterates a transposed 2-parallel fast FIR filter in all the inner layers and a direct-form 2-parallel fast FIR filter in the outermost layer, resulting in reduced hardware complexity. Such an iterated hybrid approach has not been presented before. We show that the hybrid fast parallel filters require less number of additions compared to prior approaches.