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
Link To Document :
بازگشت