Signal singular point analysis method based on scales adaptive wavelet transform

In the process of signal singularity detection using wavelet transform, there is not a unified standard on wavelet basis selection and scale selection. In the process of scale decomposition, the traditional method uses binary scale decomposition, which will limit the analysis of some signal results. The author has improved the deficiency, and the adaptive selection decomposition scale is used to replace the binary scale decomposition scale. The results show that the improved adaptive selective decomposition method can detect the singularity of the signal and improve the detection accuracy of the singularity of the signal effectively.