A new signal denoising method based on wavelet threshold algorithm
In order to effectively eliminate the noise in the signal, a de noising algorithm is proposed based improved wavelet threshold algorithm. Firstly, the advantages and disadvantages of wavelet soft threshold and hard threshold method are analysis, and constructs a new threshold function with an arbitrary derivative, secondly the optimal thresholds are estimated by adjusting the parameter values, finally the simulation experiment are carried out to test the de noising performance on the Matlab 2012 platform. The results show that, compared with other signal de noising algorithms, the proposed algorithm can improve the signal to noise ratio, and mean square error is decreased, it can obtain a better de noising effect and has higher practical application value
2016 2nd IEEE International Conference on Computer and Communications (ICCC)