Threshold de-noising method based on wavelet analysis
Zhongfei Wang · Jisuanji gongcheng yu sheji · 2011
In order to improve speech de-noising effect,a new threshold de-noising method based on wavelet analysis is proposed.This method overcomes the hard-threshold function is not continuous,the soft threshold function that exists the constant deviation,a kind of arbitrary order derivable the new threshold function is constructed,which is easy to carry out a variety of mathematical treatment.At last,hard threshold,soft threshold and the new threshold methods are analyzed and compared by MATLAB software.Experimental results show that the new threshold method is not only visually,but also is better than the traditional hard and soft-threshold method in signal to noise ratio(SNR),minimum mean square error(MSE) and so on,which has more advantages and effectiveness than the traditional methods.