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
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;
Conference_Titel :
Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on
Print_ISBN :
0-7803-8292-7
DOI :
10.1109/ISSPIT.2003.1341218
