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
Link To Document :
بازگشت