DocumentCode :
1056293
Title :
Linear systems in Gabor time-frequency space
Author :
Farkash, Shmuel ; Raz, S.
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Volume :
42
Issue :
3
fYear :
1994
fDate :
3/1/1994 12:00:00 AM
Firstpage :
611
Lastpage :
617
Abstract :
A new approach for the description and operation of linear time-varying systems is presented. The proposed formalism implements the superposition integral describing a general linear operation in Gabor time-frequency space, enabling the use of its joint properties. The method is based on transforming both the input and the time-varying impulse response function into the Gabor space. The 2- and 4-D arrays, corresponding to the Gabor spectra of the input signal and the impulse response, respectively, are multiplied yielding a 2-D array corresponding to the output Gabor spectrum, from which the output time signal is subsequently reconstructed. Unlike other time-varying operation methods carried out in different mixed time-frequency spaces, e.g., Wigner space, the suggested approach, when employing the critically sampled Gabor expansion, generates a legal output spectrum, and eliminates the need to resort to cumbersome and numerically taxing approximate synthesis techniques. The proposed formalism can be implemented in the areas of time-variant filtering, speech scrambling, and any other linear operations that vary their characterizations in time
Keywords :
array signal processing; linear systems; spectral analysis; time-frequency analysis; time-varying systems; transient response; 2-D array; 4-D array; Gabor spectra; Gabor time-frequency space; input signal; linear operations; linear time-varying systems; output Gabor spectrum; output time signal; sampled Gabor expansion; signal processing; speech scrambling; superposition integral; time-variant filtering; time-varying impulse response function; Filtering; Gabor filters; Law; Legal factors; Linear systems; Nonlinear filters; Signal synthesis; Speech synthesis; Time frequency analysis; Time varying systems;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.277853
Filename :
277853
Link To Document :
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