2009Journal of Beijing Technology and Business UniversityRequires access

APPLICATION OF WAVELET TRANSFORM IN SIGNAL DE-NOISING AND REALIZATION WITH MATLAB

Jiang Yuan-zhi

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Abstract

In view of the noise pollution in signal detection,this paper deals with the general theory of wavelet transform,the application of wavelet transform in signal De-noisinng as well as the analysis of the characteristics of noise-polluted signal.At last,the Matlab is used to be carried out the simulation where the different wavelet and different threshold of the same wavelet for signal De-noising are applied,simulation shows that the wavelet transform can achieve excellent results in signal De-noising.

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What this paper is about

In view of the noise pollution in signal detection,this paper deals with the general theory of wavelet transform,the application of wavelet transform in signal De-noisinng as well as the analysis of the characteristics of noise-polluted signal.At last,the Matlab is used to be carried out the simulation where the different wavelet and different threshold of the same wavelet for signal De-noising are applied,simulation shows that the wavelet transform can achieve excellent results in signal De-noising.

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Available abstract

In view of the noise pollution in signal detection,this paper deals with the general theory of wavelet transform,the application of wavelet transform in signal De-noisinng as well as the analysis of the characteristics of noise-polluted signal.At last,the Matlab is used to be carried out the simulation where the different wavelet and different threshold of the same wavelet for signal De-noising are applied,simulation shows that the wavelet transform can achieve excellent results in signal De-noising.

Key concepts: Wavelet, Wavelet transform, Harmonic wavelet transform, Second-generation wavelet transform, Discrete wavelet transform, Stationary wavelet transform, Wavelet packet decomposition, SIGNAL (programming language)

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