DocumentCode
1639685
Title
A new time-frequency distribution and its application to speech signal processing
Author
Zhang, Bilin ; Sato, Shunsuke
Author_Institution
Dept. of Biophys. Eng., Osaka Univ., Osaka, Japan
fYear
1992
Firstpage
417
Lastpage
420
Abstract
A kernel function for the time-frequency distribution of Cohen´s (1989) class, which is the product of the Choi-Williams (1989) and the Margenau-Hill (1961) kernels, is proposed. Specific types of signal (sinusoidal signals, chirp signals and others) are analyzed using the distribution and compared with results for the Wigner-Ville and the Choi-Williams distributions. It is found that the present distribution does not indicate spurious intensity in the regions where the other distributions do. The three distributions are compared numerically for the above signals and for speech signals, in order to show the advantages of the present distribution
Keywords
speech analysis and processing; time-frequency analysis; Choi-Williams kernel; Cohen distribution; Margenau-Hill kernels; chirp signals; kernel function; sinusoidal signals; speech signal processing; spurious intensity; time-frequency distribution; Biomedical signal processing; Chirp; Data mining; Frequency domain analysis; Intensity modulation; Kernel; Signal analysis; Signal processing; Speech processing; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0805-0
Type
conf
DOI
10.1109/TFTSA.1992.274129
Filename
274129
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