This paper addresses the problem of non-stationary signal noise suppression, represents the conception of wavelet transformation and puts forward two kinds of measurements to evaluate the effectiveness of noise suppression. Comparison experiments for noise suppression are made using Fourier analysis and Wavelet analysis. Simulation result shows that Wavelet analysis is more suitable for non-stationary analysis.
Non-stationary Signal Noise Suppression Based on Wavelet Analysis
2008 Congress on Image and Signal Processing ; 4 ; 303-306
2008-05-01
229723 byte
Conference paper
Electronic Resource
English
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