Implementation of Digital FIR Filter Using Optimized Hybrid Arithmetic Unit

As mobile computing and multimedia applications gain traction, there's a growing need for high-speed computational systems in digital signal processing (DSP), particularly in telecommunications. Digital Finite Impulse Response (FIR) filters are crucial in achieving optimal results. This paper introduces a high-performance FIR filter design utilizing a hybrid architecture that combines adders and multipliers to optimize filter performance. Given the significance of power consumption in electronic devices like mobile phones, the paper also addresses the challenge by presenting the design and implementation of a low-power FIR filter for DSP applications, focusing on reducing dynamic power while maintaining filter efficiency.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/discover62353.2024.10750574
Citations
1
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.37
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Implementation of Digital FIR Filter Using Optimized Hybrid Arithmetic Unit

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article

Implementation of Digital FIR Filter Using Optimized Hybrid Arithmetic Unit

Rohan Pinto, Deolinda Pereira, Marien de Aquino Garcia Dias, Lanwin Mario D'Souza, Melrin D'Souza
article en
1 citations

Abstract

As mobile computing and multimedia applications gain traction, there's a growing need for high-speed computational systems in digital signal processing (DSP), particularly in telecommunications. Digital Finite Impulse Response (FIR) filters are crucial in achieving optimal results. This paper introduces a high-performance FIR filter design utilizing a hybrid architecture that combines adders and multipliers to optimize filter performance. Given the significance of power consumption in electronic devices like mobile phones, the paper also addresses the challenge by presenting the design and implementation of a low-power FIR filter for DSP applications, focusing on reducing dynamic power while maintaining filter efficiency.

Openalex Percentile: Top 41%
Advanced Adaptive Filtering Techniques
0.37
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