Title :
Multiple-window spectrum estimates for non-stationary data
Author :
Thomson, David J.
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
Abstract :
Several methods for estimating time-frequency distributions using multiple-window methods are described. These include estimates of the generalized dual frequency spectrum, spectrograms, and Wigner-Ville-like functions. The spectrograms have much higher time resolution than standard, and the corresponding time-frequency distributions have much lower bias than conventional time-frequency distributions
Keywords :
Wigner distribution; frequency estimation; signal resolution; spectral analysis; time-frequency analysis; Wigner-Ville-like functions; bias; dual frequency spectrum; multiple-window methods; non-stationary data; spectrograms; spectrum estimates; time resolution; time-frequency distributions; Books; Differential equations; Fourier transforms; Frequency estimation; Geophysics computing; Integral equations; Spectrogram; Testing; Time factors; Time frequency analysis;
Conference_Titel :
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-5010-3
DOI :
10.1109/SSAP.1998.739405
