Technology of signal de-noising and singularity elimination based on wavelet transform

Based on wavelet transform theory, a method for signal de-noising and singularity detection and elimination is proposed, which can reduce the noises and express local singularity. Each singularity can also be detected and located through the local modulus maxima of wavelet transform. Simulation experiments are conducted with MATLAB software. The experimental results demonstrate that the method proposed in this paper is effective and feasible.