Singularity Detection of Signals Based on Wavelet Transform Modulus Maximum
Diao Yanhua · 2004
The points of sharp variation or singularities usually carry the important information about the signals.The advent of wavelet transform provides a suitable framework for studying the multiscale transient representation of signals.This paper introduces the theory of singularity detection based on wavelet transformation modulus maximum.By wavelest that are the first or second derivatives of a smoothing function,analysis the methods about locating singularity points and computing their intensity.Based on these results,the choice of wavelet bases and scales parameters are studied.The simulation shows this metheod is very effective.