DocumentCode :
3489550
Title :
Spectrogram decompositions of time-frequency distributions
Author :
Williams, William J. ; Aviyente, Selin
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
587
Abstract :
This paper outlines means of combining spectrograms formed using specially designed windows. Previous work has shown that one can decompose any time-frequency distribution (TFD) in Cohen´s class into a weighted sum of spectrograms. This is accomplished by decomposing the kernel of the distribution in terms of an orthogonal set of analysis windows. The spectrograms obtained using these analysis windows are then linearly combined with proper weights to form the desired TFD. The goal is a full and effective basis for representing TFD. Successful application of this theory offers very fast computation of TFD, since very few analysis windows may be needed and fast, recursive spectrogram algorithms can be used
Keywords :
probability; signal processing; spectral analysis; time-frequency analysis; Cohen class; analysis windows; kernel; recursive algorithms; spectrogram decompositions; time-frequency distribution; weighted sum; Ear; Eigenvalues and eigenfunctions; Interference constraints; Kernel; Signal processing; Signal processing algorithms; Spectrogram; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
Type :
conf
DOI :
10.1109/ISSPA.2001.950213
Filename :
950213
Link To Document :
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