A FIR computing characteristic analysis method based on arithmetic mean filtering

Arithmetic mean filtering is a widely used digital filtering method. In engineering applications, the number of filtering operation points N should usually be selected according to the parameter characteristics and filtering requirements of the signal, but the selection method of the average filter parameter N is still not clear enough, and the amplitude-frequency response characteristics of the filter are still worthy of attention. Based on the FIR characteristic analysis of arithmetic average filtering, its analytical mathematical relationship is derived, and a universally applicable operation point selection method and key data characteristics of filter amplitude-frequency response is given.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/icmsp64464.2024.10866354
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A FIR computing characteristic analysis method based on arithmetic mean filtering

Jiangyi Shi, Peijun Ma, Yue Chen, Zhao Tian et al.
Advanced Algorithms and Applications
article

A FIR computing characteristic analysis method based on arithmetic mean filtering

Jiangyi Shi, Peijun Ma, Yue Chen, Zhao Tian, Yong Jiao
article en

Abstract

Arithmetic mean filtering is a widely used digital filtering method. In engineering applications, the number of filtering operation points N should usually be selected according to the parameter characteristics and filtering requirements of the signal, but the selection method of the average filter parameter N is still not clear enough, and the amplitude-frequency response characteristics of the filter are still worthy of attention. Based on the FIR characteristic analysis of arithmetic average filtering, its analytical mathematical relationship is derived, and a universally applicable operation point selection method and key data characteristics of filter amplitude-frequency response is given.

Xidian University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 67%
Advanced Algorithms and Applications
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