2004Journal of Xi'an University of Post and TelecommunicationsRequires access

The application of wavelet analysis in noise eliminating of signal

Liu Cong-feng

Open publisher page 2 citations

Abstract

This paper introduces the basic theory of wavelet analysis and wavelet packet, then labors the technologies of noise eliminating of signal with wavelet analysis and wavelet packet, and makes use of Matlab for simulation. At last,analyses and compares the effects and advantages of the both methods,and discusses the principle and measure of threshold selection. Through the results of analysis and simulation, we can deduce that wavelet analysis have the particular advantage in noise eliminating of signal and have wide application foreground.

About this research paper

What this paper is about

This paper introduces the basic theory of wavelet analysis and wavelet packet, then labors the technologies of noise eliminating of signal with wavelet analysis and wavelet packet, and makes use of Matlab for simulation. At last,analyses and compares the effects and advantages of the both methods,and discusses the principle and measure of threshold selection. Through the results of analysis and simulation, we can deduce that wavelet analysis have the particular advantage in noise eliminating of signal and have wide application foreground.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper introduces the basic theory of wavelet analysis and wavelet packet, then labors the technologies of noise eliminating of signal with wavelet analysis and wavelet packet, and makes use of Matlab for simulation. At last,analyses and compares the effects and advantages of the both methods,and discusses the principle and measure of threshold selection. Through the results of analysis and simulation, we can deduce that wavelet analysis have the particular advantage in noise eliminating of signal and have wide application foreground.

Key concepts: Wavelet, Wavelet packet decomposition, Computer science, Second-generation wavelet transform, Discrete wavelet transform, Stationary wavelet transform, Noise (video), SIGNAL (programming language)

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