Abstract
The Vandermonde transform was recently presented as a time-frequency transform which, in difference to the discrete Fourier transform, also decorrelates the signal. Although the approximate or asymptotic decorrelation provided by Fourier is sufficient in many cases, its performance is inadequate in applications which employ short windows. The Vandermonde transform will therefore be useful in speech and audio processing applications, which have to use short analysis windows because the input signal varies rapidly over time. Such applications are often used on mobile devices with limited computational capacity, whereby efficient computations are of paramount importance. Implementation of the Vandermonde transform has, however, turned out to be a considerable effort: it requires advanced numerical tools whose performance is optimized for complexity and accuracy. This contribution provides a baseline solution to this task including a performance evaluation.
Original language | English (US) |
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Title of host publication | 2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014 |
Publisher | European Signal Processing Conference, EUSIPCO |
Pages | 71-75 |
Number of pages | 5 |
ISBN (Electronic) | 9780992862619 |
State | Published - Nov 10 2014 |
Event | 22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal Duration: Sep 1 2014 → Sep 5 2014 |
Publication series
Name | European Signal Processing Conference |
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ISSN (Print) | 2219-5491 |
Other
Other | 22nd European Signal Processing Conference, EUSIPCO 2014 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 9/1/14 → 9/5/14 |
Bibliographical note
Publisher Copyright:© 2014 EURASIP.
Keywords
- Toeplitz matrix
- Vandermonde matrix
- decorrelation
- time-frequency transforms
- warped discrete Fourier transform