DocumentCode
3036188
Title
Magnitude-phase relationships for short-time Fourier transforms based on Gaussian analysis windows
Author
Portnoff, Michael R.
Author_Institution
Massachusetts Institute of Technology, Cambridge, Massachusetts
Volume
4
fYear
1979
fDate
28946
Firstpage
186
Lastpage
189
Abstract
The short-time Fourier transform (STFT) formally represents the output of a filter-bank spectrum analyzer as a two-dimensional function of time and frequency. For the case of a Gaussian analysis window, the log magnitude and phase of the STFT are related by a coupled pair of first order linear partial differential equations. Moreover, the log magnitude and phase independently satisfy second order linear partial differential equations. Because not all functions of time and frequency are STFT´s, the second order equations provide a test for determining whether a particular magnitude or phase function corresponds to the magnitude or phase of a STFT obtained with a Gaussian analysis window. Furthermore, given a valid magnitude (or phase) function, the pair of first order equations can be integrated to determine the corresponding phase (or magnitude) function.
Keywords
Differential equations; Fourier transforms; Frequency; Laboratories; Process design; Signal analysis; Signal design; Signal processing; Spectral analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
Type
conf
DOI
10.1109/ICASSP.1979.1170695
Filename
1170695
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