DocumentCode :
1385498
Title :
Discrete Zak transforms, polyphase transforms, and applications
Author :
Bölcskei, Helmut ; Hlawatsch, Franz
Author_Institution :
Wien Univ., Austria
Volume :
45
Issue :
4
fYear :
1997
fDate :
4/1/1997 12:00:00 AM
Firstpage :
851
Lastpage :
866
Abstract :
We consider three different versions of the Zak (1967) transform (ZT) for discrete-time signals, namely, the discrete-time ZT, the polyphase transform, and a cyclic discrete ZT. In particular, we show that the extension of the discrete-time ZT to the complex z-plane results in the polyphase transform, an important and well-known concept in multirate signal processing and filter bank theory. We discuss fundamental properties, relations, and transform pairs of the three discrete ZT versions, and we summarize applications of these transforms. In particular, the discrete-time ZT and the cyclic discrete ZT are important for discrete-time Gabor (1946) expansion (Weyl-Heisenberg frame) theory since they diagonalize the Weyl-Heisenberg frame operator for critical sampling and integer oversampling. The polyphase representation plays a fundamental role in the theory of filter banks, especially DFT filter banks. Simulation results are presented to demonstrate the application of the discrete ZT to the efficient calculation of dual Gabor windows, tight Gabor windows, and frame bounds
Keywords :
band-pass filters; discrete Fourier transforms; discrete time systems; filtering theory; signal representation; signal sampling; transforms; DFT filter banks; Weyl-Heisenberg frame operator; Weyl-Heisenberg frame theory; complex z-plane; critical sampling; cyclic discrete Zak transform; discrete Zak transforms; discrete-time Gabor expansion; discrete-time signals; dual Gabor windows; filter bank theory; frame bounds; integer oversampling; multirate signal processing; polyphase representation; polyphase transforms; simulation results; tight Gabor windows; transform pairs; Continuous wavelet transforms; Discrete transforms; Discrete wavelet transforms; Eigenvalues and eigenfunctions; Equalizers; Filter bank; Frequency; Helium; Sampling methods; Signal processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.564174
Filename :
564174
Link To Document :
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