In order to solve the problem of impulsive features extraction from strong noise background,an adaptive multiscale morphology analysis(AMMA)algorithm was proposed.Corresponding to the analysis signal,the length scale and height scale were defined separately to select structuring elements for multiscale morphology analysis.An adaptive algorithm based on the information of local peaks of the signal was discussed.Numerical simulation experiments show that the proposed AMMA algorithm is better than the single-s...
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