Application of Wavelet Analysis in Denoise Processing
Ming Du · Jisuanji fangzhen · 2005
Wavelet analysis theory is a newly borning theory of signal process and it has good localization in both frequency and time domains:having fine frequency resolution and coarse time resolution at lower frequency;and coarse frequency resolution and fine time resolution at higher frequency. It makes the wavelet analysis suitable for time-frequency analysis. Wavelet analysis has played a particularly important role in denoising,due to the fact that it has the property of time-frequency analysis. In this paper,it will be introduced that the theory of wavelet analysis and application of wavelet analysis in denoise processing,and there are three methods:defaulty denoising(DD),compulsory denoising(CD) and independency denoising(ID).On the consumption that the noise is the Gaussian white noise,the noise has been excluded from the corrupted signal relying on the wavelet transform and reconstruction.At last, it calculates the relations by using the principle of least squares。