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De-noising Analysis of Automobile Vibration Signal Based on Wavelet Transform

Qidong Wang

Open publisher page 1 citations

Abstract

the theory of decomposing the signal with wavelet transform is introduced based on the fundamental principle of wavelet transform.Aimed at the nonstationary character of automobile vibration signal,Multi-resolution Analysis and Wavelet Packet Analysis are adopted to analyze the vibration signal of driver seat with the dB4 wavelet.It has obtained obvious effect through the de-noising computation with the Wavelet Toolbox of Matlab.Compared with FFT de-noising,it shows that the wavelet transform has advantage over the Fourier Analysis.

About this research paper

What this paper is about

the theory of decomposing the signal with wavelet transform is introduced based on the fundamental principle of wavelet transform.Aimed at the nonstationary character of automobile vibration signal,Multi-resolution Analysis and Wavelet Packet Analysis are adopted to analyze the vibration signal of driver seat with the dB4 wavelet.It has obtained obvious effect through the de-noising computation with the Wavelet Toolbox of Matlab.Compared with FFT de-noising,it shows that the wavelet transform has advantage over the Fourier Analysis.

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Available abstract

the theory of decomposing the signal with wavelet transform is introduced based on the fundamental principle of wavelet transform.Aimed at the nonstationary character of automobile vibration signal,Multi-resolution Analysis and Wavelet Packet Analysis are adopted to analyze the vibration signal of driver seat with the dB4 wavelet.It has obtained obvious effect through the de-noising computation with the Wavelet Toolbox of Matlab.Compared with FFT de-noising,it shows that the wavelet transform has advantage over the Fourier Analysis.

Key concepts: Wavelet, Wavelet packet decomposition, Second-generation wavelet transform, Harmonic wavelet transform, Wavelet transform, Discrete wavelet transform, Lifting scheme, Stationary wavelet transform

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