Optimized Multistage Decimation Based on Optimal Factorization of Decimation Ratio

In this paper, we analyze a method for designing an optimized multistage decimation filter chain focused on minimizing computational load. Decimation ratios for each of the K stages are determined to achieve the optimal number of filter multiplications per second. To enable the optimal factorization of non-integer or prime decimation ratios, the first stage of the decimation chain is designed to perform non-integer decimation using a transposed modified Farrow structure. We evaluate the performance of the optimized multistage filter chain with varying numbers of stages and compare it to an optimal FIR realization. The results demonstrate that the Farrow structure significantly reduces the computational load for prime and non-integer decimation cases and benefits non-prime cases.

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Publication Details

Journal
IEEE Signal Processing Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lsp.2025.3595512
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

Optimized Multistage Decimation Based on Optimal Factorization of Decimation Ratio

Djordje Babić, Vesna Babić
IEEE Signal Processing Letters
Advanced Algorithms and Applications
article

Optimized Multistage Decimation Based on Optimal Factorization of Decimation Ratio

Djordje Babić, Vesna Babić
article en

Abstract

In this paper, we analyze a method for designing an optimized multistage decimation filter chain focused on minimizing computational load. Decimation ratios for each of the K stages are determined to achieve the optimal number of filter multiplications per second. To enable the optimal factorization of non-integer or prime decimation ratios, the first stage of the decimation chain is designed to perform non-integer decimation using a transposed modified Farrow structure. We evaluate the performance of the optimized multistage filter chain with varying numbers of stages and compare it to an optimal FIR realization. The results demonstrate that the Farrow structure significantly reduces the computational load for prime and non-integer decimation cases and benefits non-prime cases.

IEEE Signal Processing LettersVol. 32
University of Belgrade (RS), Union University (RS)
Openalex Percentile: Top 77%
Advanced Algorithms and Applications
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