Research Article
Enhancing Finite Impulse Response (FIR) Filtering with Distributive Arithmetic (DA) and Residue Number System (RNS) Optimization
@INPROCEEDINGS{10.1007/978-3-031-81168-5_25, author={Mentam Sunaina and G. L. Sumalata}, title={Enhancing Finite Impulse Response (FIR) Filtering with Distributive Arithmetic (DA) and Residue Number System (RNS) Optimization}, proceedings={Broadband Communications, Networks, and Systems. 14th EAI International Conference, BROADNETS 2024, Hyderabad, India, February 16--17, 2024, Proceedings, Part I}, proceedings_a={BROADNETS}, year={2025}, month={2}, keywords={Finite Impulse Response Filter Residue Number System Distributed Arithmetic Digital Signal Processing}, doi={10.1007/978-3-031-81168-5_25} }- Mentam Sunaina
G. L. Sumalata
Year: 2025
Enhancing Finite Impulse Response (FIR) Filtering with Distributive Arithmetic (DA) and Residue Number System (RNS) Optimization
BROADNETS
Springer
DOI: 10.1007/978-3-031-81168-5_25
Abstract
Digital Signal Processing (DSP) systems have revolutionized numerous fields such as telecommunications, audio manipulation, image and video treatment and various other domains. Whereas Distributed Arithmetic (DA) is a powerful technique used in DSP area for efficient implementation of various algorithms. This paper presents an optimized Finite Impulse Response (FIR) filter with Distributed Arithmetic (DA) and Residue Number System (RNS). The proposed design leverages the properties of the RNS to achieve efficient and high-performance filtering operations. The input samples and filter coefficients undergo a transformation into residue representation, and the intermediate products are calculated using residue arithmetic. The proposed design has been implemented in Xilinx platform. It uses 15% lesser power demonstrates reduced computational complexity and improved performance has been reduced to compared to conventional FIR filters. The experimental outcomes underscore the efficacy of the suggested method concerning filter efficiency, resource utilization, and energy consumption. The optimized FIR filter using the RNS method presents a promising solution for efficient and high-performance filtering utilized in a range of fields, including digital signal processing and communication systems.
