利用小波变换选择采样频率，实现对局部信号的精确检测

2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW) Pub Date : 2016-02-01 DOI:10.1109/EICONRUSNW.2016.7448201

V. Alekseev, I. Kaliakin, E. Sedunova

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引用次数: 5

摘要

本文综述了小波变换中减少计算量的诊断方法。模数转换在数据测量、转换和数据处理过程中不可避免地产生误差。结果表明，快速小波算法的应用从根本上提高了算法的有效性，提高了算法的计算速度，既满足了硬件要求，又使采样误差最小化。频带分析表明，对于正则信号的识别，不需要使用完全的小波分解。使用较低的采样频率就足以实现小波处理的精确信号检测。

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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Choosing sample frequency for accurate local signal detection using wavelet transform

Diagnostic approach of reducing computational costs while performing wavelet transformation is reviewed in this paper. Analog-to-digital conversion inevitably produces errors in the process of data measurement, transformation and data processing. It is shown that appliance of fast wavelet algorithms leads to fundamental improvement of effectiveness and increases calculation speed of both according to hardware requirements and minimizing sampling error. Frequency bands analysis showed that for regular signal identification it is not necessary to use complete wavelet decomposition. Usage of lower sampling frequency is enough for accurate signal detection by means of wavelet processing.

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来源期刊

2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

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