JOURNAL ARTICLE

The Denoising Method Based on Wavelet Transform in Signal Dynamic Detection

Bo HuangPeng SunXiao Man Wang

Year: 2014 Journal:   Advanced materials research Vol: 889-890 Pages: 766-769   Publisher: Trans Tech Publications

Abstract

In this paper the application of wavelet in data detection of dynamic testing is chiefly researched , i.e. , by applying the method of wavelet denoising to eliminate the non-stationary random noise which produced in data detection of dynamic testing , by analyzing dynamic testing data to define the optimal wavelet as well as the optimal decomposition scale. Based on actual requirements of dynamic testing system, to reconstruct the data accurately by using FIR filter with biorthogonal wavelet, the method has a favorable effect.

Keywords:
Wavelet Wavelet packet decomposition Stationary wavelet transform Biorthogonal system Discrete wavelet transform Second-generation wavelet transform Dynamic data Noise reduction Wavelet transform Biorthogonal wavelet Computer science Noise (video) Filter (signal processing) Lifting scheme Pattern recognition (psychology) Artificial intelligence Finite impulse response Algorithm Computer vision

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FWCI (Field Weighted Citation Impact)
7
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0.10
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Topics

Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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