Title :
Cone-kernel representation versus instantaneous power spectrum
Author :
Viswanath, G. ; Sreenivas, T.V.
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
fDate :
1/1/1999 12:00:00 AM
Abstract :
The Cone-kernel representation (CKR) and the instantaneous power spectrum (IFS) are two time-frequency representations (TFRs) where the cross-terms are localized in the region of auto-terms. Exploring their relationship for discrete sequences, we show that the IFS kernel is only two extreme terms of the CKR kernel. Further comparing other properties of these two TFRs, viz., invertibility, aliasing, and noise robustness, we show that there is aliasing in some transform domains for signals sampled at Nyquist rate and that the CKR has better noise robustness than the IFS
Keywords :
noise; signal representation; signal sampling; spectral analysis; time-frequency analysis; Nyquist rate; aliasing; auto-terms; cone-kernel representation; discrete sequences; instantaneous power spectrum; invertibility; localized cross-terms; noise robustness; signal sampling; time-frequency representations; transform domains; Density functional theory; Discrete transforms; Interference; Kernel; Multiple signal classification; Noise robustness; Signal detection; Signal generators; Smoothing methods; Speech;
Journal_Title :
Signal Processing, IEEE Transactions on