Harmonic wavelet transform signal decomposition and modified group delay for improved Wigner-Ville distribution
作者： S.V. Narasimhan , B.K. Shreyamsha Kumar
DOI: 10.1109/SPCOM.2004.1458417
关键词: Harmonic wavelet transform 、 Mathematics 、 Wavelet 、 Discrete wavelet transform 、 Speech recognition 、 Second-generation wavelet transform 、 Wavelet transform 、 Filter bank 、 Algorithm 、 Wavelet packet decomposition 、 Time–frequency analysis
摘要: A new approach for the Wigner-Ville distribution (WVD) based on signal decomposition by harmonic wavelet transform (SDHWT) and modified magnitude group delay function (MMGD) has been proposed. The SDHWT directly provides subband signals WVD of these components are concatenated to get overall without using antialias image rejection filtering. MMGD remove existence crossterms (CT) ripple effect due truncation kernel applying any window, respectively. Since there is no time frequency smoothing, proposed method a better performance in terms both resolution desirable properties time-frequency representation (TFR) than pseudo (PWVD). Further, it relatively noise immunity compared that PWVD. In WVD, decomposition, use SDHWT, filter bank, almost similar results but significant (72%) computational advantage.
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