Wang Yong, Jiang Yi-cheng . Realization of the Polynomial Wigner-Ville Distribution (PWVD) Based On the Convolution In Frequency Domain[J]. Journal of Electronics & Information Technology, 2008, 30(2): 286-289. doi: 10.3724/SP.J.1146.2006.01835
Citation:
Wang Yong, Jiang Yi-cheng . Realization of the Polynomial Wigner-Ville Distribution (PWVD) Based On the Convolution In Frequency Domain[J]. Journal of Electronics & Information Technology, 2008, 30(2): 286-289. doi: 10.3724/SP.J.1146.2006.01835
Wang Yong, Jiang Yi-cheng . Realization of the Polynomial Wigner-Ville Distribution (PWVD) Based On the Convolution In Frequency Domain[J]. Journal of Electronics & Information Technology, 2008, 30(2): 286-289. doi: 10.3724/SP.J.1146.2006.01835
Citation:
Wang Yong, Jiang Yi-cheng . Realization of the Polynomial Wigner-Ville Distribution (PWVD) Based On the Convolution In Frequency Domain[J]. Journal of Electronics & Information Technology, 2008, 30(2): 286-289. doi: 10.3724/SP.J.1146.2006.01835
The Polynomial Wigner-Ville Distribution (PWVD) is a time-frequency signal analysis tool for representing Polynomial Phase Signal (PPS). An algorithm for implementation of the PWVD based on the convolution in frequency domain according to the structure of the PWVD is presented in this paper. By decomposing the PWVD into a series of convolutions of WVD or LWVD, the cross-terms can be reduced just because the WVD or LWVD can be calculated by the STFT, which is a linear transform. At the same time, the PWVD have a high time frequency convergence. The discrete implementation method and the corresponding computation complexity are analyzed and the effectiveness of the method is illustrated with numerical examples.
Cohen L. Time-Frequency distributionsA review[J].Proc.IEEE.1989, 77(7):941-981[2]Barkat B and Boashash B. Design of higher-order polynomialWigner-Ville distributions[J].IEEE Trans. on SP.1999, 47(9):2608-2611[3]Baraniuk R G and Jones D L. A signal-dependent timefrequencyrepresentation: optimal kernel design[J].IEEE Trans.on SP.1993, 41(4):1589-1602[4]Ristic B and Boashash B. Kernal design for time-frequencysignal analysis using the Radon transform[J].IEEE Trans. onSP.1993, 41(5):1996-2008[5]Stankovic L J. A multitime definition of the wigner higherorder distribution: L-Wigner distribution[J].IEEE SignalProcessing Letters.1994, 1(7):106-109[6]Stankovic L J. A method for improved distributionconcentration in the time-frequency analysis ofmulticomponent signals using the L-Wigner distribution[J].IEEE Trans. on SP.1995, 43(5):1262-1268[7]Stankovic L J. A method for time-frequency analysis. IEEETrans. on SP, 1994, 42(1): 225-229.