Implementation of FIR Filter Using Wallace Reduction Tree For High Speed Application

The increasing demand for high-speed digital signal processing has necessitated the development of efficient FIR filter architectures. Conventional multipliers, such as Baugh-Wooley and Booth, consume significant hardware resources, limiting their suitability for high-speed applications. To address this, we propose an FIR filter implementation using the Wallace reduction tree to optimize performance and reduce resource utilization. Comparative analysis shows that the proposed filter requires 57% fewer LUTs and 50% fewer slice registers than the Baugh-Wooley design. Additionally, the filter uses no DSP48 blocks, making it highly efficient in resource-constrained environments. The results demonstrate that the proposed design offers a significant reduction in hardware complexity while maintaining high performance, making it ideal for real-time, high-speed applications in communications and signal processing.

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Published
2024-10-18
DOI
https://doi.org/10.1109/ssitcon62437.2024.10795946
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.35
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Implementation of FIR Filter Using Wallace Reduction Tree For High Speed Application

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article

Implementation of FIR Filter Using Wallace Reduction Tree For High Speed Application

S Sridhara, D Bhavani, M V Pathi Amudalapalli, Nallagangula Mary Leena, Lingam Sailaja, Ch Kanakalingeswara Rao
article en
1 citations

Abstract

The increasing demand for high-speed digital signal processing has necessitated the development of efficient FIR filter architectures. Conventional multipliers, such as Baugh-Wooley and Booth, consume significant hardware resources, limiting their suitability for high-speed applications. To address this, we propose an FIR filter implementation using the Wallace reduction tree to optimize performance and reduce resource utilization. Comparative analysis shows that the proposed filter requires 57% fewer LUTs and 50% fewer slice registers than the Baugh-Wooley design. Additionally, the filter uses no DSP48 blocks, making it highly efficient in resource-constrained environments. The results demonstrate that the proposed design offers a significant reduction in hardware complexity while maintaining high performance, making it ideal for real-time, high-speed applications in communications and signal processing.

G Pulla Reddy Dental College & Hospital (IN), Aditya Birla (India) (IN), SRKR Engineering College
Openalex Percentile: Top 30%
Neural Networks and Applications
0.35
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