DocumentCode
3523924
Title
Hyperbolic time-frequency power spectrum
Author
Le, Khoa N. ; Dabke, Kishor P. ; Egan, Gregory K.
Author_Institution
Sch. of Eng., Griffith Univ., Qld., Australia
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
705
Lastpage
708
Abstract
A new hyperbolic kernel and hyperbolic wavelet are presented along with their applications in signal detection and signal analysis. Comparisons are made between the hyperbolic kernel and highly-regarded Choi-Williams kernel. Applications of the hyperbolic kernel are outlined. Parallel computing is used to calculate the bispectrum and time-frequency power spectrum with encouraging results. Up-to-date applications of time-frequency power spectra are discussed.
Keywords
signal detection; signal processing; spectral analysis; time-frequency analysis; wavelet transforms; Choi-Williams kernel; hyperbolic kernel; hyperbolic time-frequency power spectrum; hyperbolic wavelet; parallel computing; signal analysis; signal detection; Application software; Autocorrelation; Kernel; Parallel processing; Power engineering and energy; Power engineering computing; Signal detection; Signal processing; Time frequency analysis; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN
0-7803-8292-7
Type
conf
DOI
10.1109/ISSPIT.2003.1341218
Filename
1341218
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