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2007•Modern Electronics TechniqueRequires access

Signal De-noising Based on Wavelet Packets Transform

Fuming Wang

Open publisher page 5 citations

Abstract

Signal de-noising is always a heat topic in the information discipline domain.The traditional signal de-noising method is work in frequency scope only and can not indicate the trait of signal in time domain.However,the wavelet transform is one kind of signal analysis in time and frequency.Using wavelet de-noising is an important application of wavelet analysis in engineering.The principle and method of de-noiseing with wavelet packets are introduced here.This method is proved to be effective by a simulation example and comparision with recent de-noising using wavelet theory.

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What this paper is about

Signal de-noising is always a heat topic in the information discipline domain.The traditional signal de-noising method is work in frequency scope only and can not indicate the trait of signal in time domain.However,the wavelet transform is one kind of signal analysis in time and frequency.Using wavelet de-noising is an important application of wavelet analysis in engineering.The principle and method of de-noiseing with wavelet packets are introduced here.This method is proved to be effective by a simulation example and comparision with recent de-noising using wavelet theory.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Signal de-noising is always a heat topic in the information discipline domain.The traditional signal de-noising method is work in frequency scope only and can not indicate the trait of signal in time domain.However,the wavelet transform is one kind of signal analysis in time and frequency.Using wavelet de-noising is an important application of wavelet analysis in engineering.The principle and method of de-noiseing with wavelet packets are introduced here.This method is proved to be effective by a simulation example and comparision with recent de-noising using wavelet theory.

Key concepts: Wavelet packet decomposition, Wavelet, Second-generation wavelet transform, Discrete wavelet transform, Wavelet transform, Stationary wavelet transform, Harmonic wavelet transform, Computer science

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