An Efficient Algorithm for the Discrete Gabor Transform using full length Windows

Peter Lempel Søndergaard

An Efficient Algorithm for the Discrete Gabor Transform using full length Windows

Peter Lempel Søndergaard

Centre for Applied Hearing Research

Research output: Contribution to journal › Conference article › Research › peer-review

Abstract

This paper extends the efficient factorization of the Gabor frame operator developed by Strohmer (1998) to the Gabor analysis/synthesis operator. This provides a fast method for computing the discrete Gabor transform (DGT) and several algorithms associated with it. The algorithm is used for the case when the involved window and signal have the same length.

Original language	English
Journal	Sampling Theory in Signal and Image Processing
ISSN	1530-6429
Publication status	Published - 2009
Event	The international conference on Sampling Theory and Applications - Marseilles, France Duration: 18 May 2009 → 22 May 2009 Conference number: 8

Conference

Conference	The international conference on Sampling Theory and Applications
Number	8
Country/Territory	France
City	Marseilles
Period	18/05/2009 → 22/05/2009

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Cite this

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abstract = "This paper extends the efficient factorization of the Gabor frame operator developed by Strohmer (1998) to the Gabor analysis/synthesis operator. This provides a fast method for computing the discrete Gabor transform (DGT) and several algorithms associated with it. The algorithm is used for the case when the involved window and signal have the same length.",

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AB - This paper extends the efficient factorization of the Gabor frame operator developed by Strohmer (1998) to the Gabor analysis/synthesis operator. This provides a fast method for computing the discrete Gabor transform (DGT) and several algorithms associated with it. The algorithm is used for the case when the involved window and signal have the same length.

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JO - Sampling Theory in Signal and Image Processing

JF - Sampling Theory in Signal and Image Processing

T2 - The international conference on Sampling Theory and Applications

Y2 - 18 May 2009 through 22 May 2009

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