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Fourier Transform and Wavelet Transform Applied in Signal Processing

Yan Tao Tian

Open publisher page 1 citations

Abstract

On the basis of analyzing the characteristics and differences of Fourier transform and wavelet transform,this paper discusses their applications in the different kinds of signal processing.A simulation example of fault detection is analyzed,which proves the advantages of the wavelet transform.

About this research paper

What this paper is about

On the basis of analyzing the characteristics and differences of Fourier transform and wavelet transform,this paper discusses their applications in the different kinds of signal processing.A simulation example of fault detection is analyzed,which proves the advantages of the wavelet transform.

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Available abstract

On the basis of analyzing the characteristics and differences of Fourier transform and wavelet transform,this paper discusses their applications in the different kinds of signal processing.A simulation example of fault detection is analyzed,which proves the advantages of the wavelet transform.

Key concepts: Harmonic wavelet transform, Constant Q transform, Wavelet transform, Second-generation wavelet transform, Discrete wavelet transform, Stationary wavelet transform, Computer science, S transform

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