Title :
Wigner-Ville distribution decomposition via wavelet packet transform
Author :
Minsheng Wang ; Chan, Andrew Li ; Chui, C.K.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
A new time-frequency distribution is proposed in this paper. It is based on a combination of the Wigner-Ville distribution (WVD) decomposition and the wavelet packet transform. First, the input signal is optimally decomposed into frequency bands by a best basis selection. Then, each subsignal within a frequency band is represented by the WVD decomposition. Finally, the proposed decomposition is obtained by incorporating with these WVD representations. The proposed distribution keeps the high resolution of WVD, while inducing low interferences which are decoupled by the involved wavelet packet transform
Keywords :
Wigner distribution; interference (signal); signal representation; signal resolution; time-frequency analysis; wavelet transforms; WVD decomposition; Wigner-Ville distribution decomposition; high resolution; input signal; interference; inverse SAR; inverse synthetic aperture radar; time-frequency distribution; wavelet packet transform; Bandwidth; Biomedical signal processing; Data mining; Impedance; Interference suppression; Signal processing algorithms; Time frequency analysis; Wavelet analysis; Wavelet packets; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.550080
