Singularity Detection and Characterization with Complex-Valued Wavelets and their Applications
Chun-Liang Du and Wen-Liang Hwang
Abstract
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We prove that the wavelet modulus maxima with a complex-valued wavelet
can detect and characterize singularities. This can be regarded as an extension
of the previous wavelet modulus work with a real wavelet. The ridges
of wavelet transforms are the places in the time-frequency plane where the local
energies of a signal are mostly concentrated. We show that based on the ridges
of the wavelet transforms, the osciallating singularities are better located and
their oscillating components are better characterized than they are based on the
general maxima of real-valued wavelet transforms. We demonstrate potential
applications of these techniques.
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Key Words: Continuous Wavelet Transform, Wavelet Modulus Maxima, Singularity, Instantaneous Frequencies
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