DocumentCode
3382385
Title
On the window selection and the cross terms that exist in the magnitude squared distribution of the short time Fourier transform
Author
Kadambe, Shubha
Author_Institution
Appl. Sci. & Eng. Labs., A.I. duPont Inst., Wilmington, DE, USA
fYear
1992
fDate
7-9 Oct 1992
Firstpage
22
Lastpage
25
Abstract
The short time Fourier transform (STFT), a time-frequency representation, is linear by definition. However, the magnitude squared distribution of the STFT (the spectrogram) which signal processors often use to represent a signal is non-linear by definition. Therefore, in general, there exist cross terms in the spectrogram of a multi-component signal. The existence of these depends on (a) the nature of a multi-component signal, (b) the choice of the STFT analysis window and (c) the window length selection. This paper studies the effect of (i) the choice of the STFT analysis window, and (ii) the nature of signals to be analyzed, on the cross terms, in detail with representative examples
Keywords
fast Fourier transforms; signal processing; time-frequency analysis; cross terms; magnitude squared distribution; multi-component signal; short time Fourier transform; spectrogram; time-frequency representation; window selection; Difference equations; Fourier transforms; Frequency estimation; Geometry; Lapping; Phase modulation; Signal analysis; Signal processing; Spectrogram; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246839
Filename
246839
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