DocumentCode
763426
Title
A parametric class of discrete Gabor expansions
Author
Li, Shidong ; Healy, Dennis M., Jr.
Author_Institution
Dept. of Math., Maryland Univ., College Park, MD, USA
Volume
44
Issue
2
fYear
1996
fDate
2/1/1996 12:00:00 AM
Firstpage
201
Lastpage
211
Abstract
The Gabor expansion and its discretization have been widely studied, and many potential applications have been suggested in various signal processing problems. A new approach to the study of the discrete Gabor expansion (DGE) is introduced and analyzed in detail using the theory of pseudoframe decompositions. A parametric and analytical formula for a class of different Gabor analysis sequences is derived. It is a simple algebraic formula rather than another abstract system of equations. For the first time, the structure of analysis sequences is questioned. We show that while there is a class of infinite analysis sequences that possess the Gabor (translation and complex modulation) structure, there are also infinite analysis sequences of arbitrary forms. Simulation results are provided to demonstrate the proposed algorithms. The study of the DGE by means of the theory of pseudoframe decompositions reveals a much broader mathematical perspective on the DGE. The general algorithm derived provides a feasible platform for optimizations in discrete Gabor expansions arising from various applications. This is an area that can surely be exploited as algorithms of DGEs become known and applications become more and more intensive
Keywords
sequences; signal processing; transforms; Gabor analysis sequences; Gabor structure; algebraic formula; algorithm; analytical formula; complex modulation; discrete Gabor expansions; infinite analysis sequences; parametric formula; pseudoframe decomposition; pseudoframe decompositions; simulation results; translation; Algorithm design and analysis; Biomedical signal processing; Computer science; Constraint optimization; Equations; Helium; Laboratories; Mathematics; Signal processing algorithms; Visual system;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.485917
Filename
485917
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