DocumentCode
827135
Title
Double Preconditioning for Gabor Frames
Author
Balazs, Peter ; Feichtinger, Hans G. ; Hampejs, Mario ; Kracher, Günther
Author_Institution
Acoust. Res. Inst., Austrian Acad. of Sci., Wien
Volume
54
Issue
12
fYear
2006
Firstpage
4597
Lastpage
4610
Abstract
The authors present an application of the general idea of preconditioning in the context of Gabor frames. While most (iterative) algorithms aim at a more or less costly exact numerical calculation of the inverse Gabor frame matrix, we propose here the use of "cheap methods" to find an approximation for it, based on (double) preconditioning. We thereby obtain good approximations of the true dual Gabor atom at low computational costs. Since the Gabor frame matrix commutes with certain time-frequency shifts, it is natural to make use of diagonal and circulant preconditioners sharing this property. Part of the efficiency of the proposed scheme results from the fact that all the matrices involved share a well-known block matrix structure. At least, for the smooth Gabor atoms typically used, the combination of these two preconditioners leads consistently to good results. These claims are supported by numerical experiments in this paper. For numerical evaluations we introduce two new matrix norms, which can be calculated efficiently by exploiting the structure of the frame matrix
Keywords
iterative methods; matrix inversion; signal processing; time-frequency analysis; block matrix structure; circulant preconditioner; diagonal preconditioner; double preconditioning; inverse Gabor frame matrix; iterative algorithms; time-frequency shifts; true dual Gabor atom; Algorithm design and analysis; Approximation algorithms; Computational efficiency; Discrete transforms; Equations; Fourier transforms; Frequency; Iterative algorithms; Iterative methods; Signal processing algorithms; Approximated dual windows; Gabor frame matrices; block matrices; discrete transforms; efficient algorithm; matrix inversion; matrix norms; time–frequency analysis;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.882100
Filename
4014364
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