非平稳信号的小波滤波特征研究

2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T) Pub Date : 2019-10-01 DOI:10.1109/PICST47496.2019.9061501

Yullia Tverdokhlib, Yullia Tverdokhlib

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引用次数: 0

摘要

本文主要研究时变非平稳信号的小波滤波特征检测与分析。描述了复小波估计的实际问题。显示了小波系数对信号频率的响应性。该技术允许使用最佳拟合小波基确定信号的频带。给出了实现该方法的软件。这些方法适用于铣削金属表面的波浪形和粗糙度剖面分配问题，也可用于任何类型的非平稳数据，如电信信号、卫星导航、医学数据、金融系列等。

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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Research on Wavelet Filter Features for Nonstationary Signals

The article is devoted to detection and analysis of wavelet filter features for nonstationary signals with time-varying characteristics. The actual problem of complex wavelet estimation is described. The wavelet coefficients responsiveness to the signal frequencies is shown. This technique allows determining the signal frequency passbands using the optimal fitting wavelet basis. The software implementing this method is presented. These methods are applied to the problem of waviness and roughness profile allocation of metal surfaces treated by milling and they could also be used for any types of nonstationary data such as telecommunication signals, satellite navigation, medicine data, financial series, etc.

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来源期刊

2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T)

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