Abstract:

The metal magnetic memory (MMM) signal is commonly corrupted by various noises. In order to reduce the interference caused by noises, an adaptive wavelet threshold de-noising method is proposed based on the improved threshold function after thoroughly analyzing the limitation of traditional threshold methods. The performance of the proposed approach is verified by simulation. And then the proposed approach is applied to MMM signal de-noising. The results indicate that the noise suppression ratio is improved while the signal distortion ratio is reduced, and the proposed approach is a feasible de-noising algorithm for MMM signals.