Nonlinear Denoising of Nonstationary Signals

被引：0
|
作者：
German-Sallo, Zoltan [1 ]
机构：
[1] Univ Med Pharm Sci & Technol George Emil Palade, Targu Mures, Romania
来源：
15TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING | 2022年 / 386卷
关键词：
Wavelet transform; Time-frequency decomposition; Empirical mode decomposition; Nonlinear filtering;
D O I：
10.1007/978-3-030-93817-8_75
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper presents different time-frequency decomposition-based filtering procedures. These procedures are applied to various types of synthesized nonstationary test signals which are contaminated with different levels of Gaussian white noise. Empirical mode decomposition (EMD), discrete wavelet transform (DWT) and wavelet packet transform (WPT) based procedures are implemented in order to perform nonlinear multiscale filtering. The obtained results are compared and analyzed; conclusions summarize the comparison study.
引用
收藏
页码：843 / 855
页数：13
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