Noisy Signal Pattern Recognition using Multiple Wavelet Level and Threshold Method

摘要

This paper shows the method for improving of the noisy signal pattern recognition. To analyse noise problem, many people have used fourier analysis. But the fourier analysis reveals only the frequency information. It is difficult to remove the only noise. To overcome this difficulty, we applied the wavelet analysis. And furthermore, in this paper, we apply multiple wavelet level and thereshold method to siganal pattern recognition under the noisy environments. As a result, signal pattern recognition rate is improved by this method.