Efficient Algorithms for the Discrete Gabor Transform with a Long Fir Window

The Discrete Gabor Transform (DGT) is the most commonly used signal transform for signal analysis and synthesis using a linear frequency scale. The development of the Linear Time-Frequency Analysis Toolbox (LTFAT) has been based on a detailed study of many variants of the relevant algorithms. As a s...

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Published inThe Journal of fourier analysis and applications Vol. 18; no. 3; pp. 456 - 470
Main Author Søndergaard, Peter L.
Format Journal Article
LanguageEnglish
Published Boston SP Birkhäuser Verlag Boston 01.06.2012
Springer
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Online AccessGet full text
ISSN1069-5869
1531-5851
DOI10.1007/s00041-011-9210-5

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Abstract The Discrete Gabor Transform (DGT) is the most commonly used signal transform for signal analysis and synthesis using a linear frequency scale. The development of the Linear Time-Frequency Analysis Toolbox (LTFAT) has been based on a detailed study of many variants of the relevant algorithms. As a side result of these systematic developments of the subject, two new methods are presented here. Comparisons are made with respect to the computational complexity, and the running time of optimised implementations in the C programming language. The new algorithms have the lowest known computational complexity and running time when a long FIR window is used. The implementations are freely available for download. By summarizing general background information on the state of the art, this article can also be seen as a research survey, sharing with the readers experience in the numerical work in Gabor analysis.
AbstractList The Discrete Gabor Transform (DGT) is the most commonly used signal transform for signal analysis and synthesis using a linear frequency scale. The development of the Linear Time-Frequency Analysis Toolbox (LTFAT) has been based on a detailed study of many variants of the relevant algorithms. As a side result of these systematic developments of the subject, two new methods are presented here. Comparisons are made with respect to the computational complexity, and the running time of optimised implementations in the C programming language. The new algorithms have the lowest known computational complexity and running time when a long FIR window is used. The implementations are freely available for download. By summarizing general background information on the state of the art, this article can also be seen as a research survey, sharing with the readers experience in the numerical work in Gabor analysis.
Audience Academic
Author Søndergaard, Peter L.
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Snippet The Discrete Gabor Transform (DGT) is the most commonly used signal transform for signal analysis and synthesis using a linear frequency scale. The development...
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SubjectTerms Abstract Harmonic Analysis
Algorithms
Analysis
Approximations and Expansions
Fourier Analysis
Mathematical Methods in Physics
Mathematics
Mathematics and Statistics
Partial Differential Equations
Signal,Image and Speech Processing
Title Efficient Algorithms for the Discrete Gabor Transform with a Long Fir Window
URI https://link.springer.com/article/10.1007/s00041-011-9210-5
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