A Frequency-weighting Digital Filter in Sound Level Meter based on Neural Computing Method

IF 1.2 4区工程技术 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Fluctuation and Noise Letters Pub Date : 2023-11-09 DOI:10.1142/s021947752450007x

Haiyun Lin, Xinjie Shen, Gang Long, Haijun Lin

引用次数: 0

Abstract

Frequency weighting networks are a critical component of a sound level meter (SLM), and their error characteristics directly determine the performances of SLM. For reducing the high-frequency error of the [Formula: see text] frequency-weighting filters with the bilinear transformation method (BTM), a design method for [Formula: see text] frequency-weighting filters based on neural computing method (NCM) is proposed. A detailed algorithm for solving the filter coefficients is provided, and the amplitude-frequency characteristics of the [Formula: see text] frequency-weighting filters with BTM and NCM are compared in detail. The experimental results show that the amplitude-frequency characteristics of the [Formula: see text] frequency-weighting filters in SLM with NCM are significantly better than those of BTM. The filter meets the requirements of the first class SLM defined by IEC61672, which demonstrates the effectiveness of this proposed method.

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基于神经计算方法的声级计频率加权数字滤波器

频率加权网络是声级计的重要组成部分，其误差特性直接决定声级计的性能。为了利用双线性变换方法(BTM)减小[公式:见文]频率加权滤波器的高频误差，提出了一种基于神经计算方法(NCM)的[公式:见文]频率加权滤波器的设计方法。给出了求解滤波器系数的详细算法，并详细比较了采用BTM和NCM的频率加权滤波器的幅频特性。实验结果表明，采用NCM的SLM频率加权滤波器的幅频特性明显优于BTM滤波器。该滤波器满足IEC61672定义的第一类SLM的要求，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Fluctuation and Noise Letters 工程技术-数学跨学科应用

CiteScore

2.90

自引率

22.20%

发文量

审稿时长

>12 weeks

期刊介绍： Fluctuation and Noise Letters (FNL) is unique. It is the only specialist journal for fluctuations and noise, and it covers that topic throughout the whole of science in a completely interdisciplinary way. High standards of refereeing and editorial judgment are guaranteed by the selection of Editors from among the leading scientists of the field. FNL places equal emphasis on both fundamental and applied science and the name "Letters" is to indicate speed of publication, rather than a limitation on the lengths of papers. The journal uses on-line submission and provides for immediate on-line publication of accepted papers. FNL is interested in interdisciplinary articles on random fluctuations, quite generally. For example: noise enhanced phenomena including stochastic resonance; 1/f noise; shot noise; fluctuation-dissipation; cardiovascular dynamics; ion channels; single molecules; neural systems; quantum fluctuations; quantum computation; classical and quantum information; statistical physics; degradation and aging phenomena; percolation systems; fluctuations in social systems; traffic; the stock market; environment and climate; etc.