A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter
<p/> <p>The multidelay block frequency-domain (MDF) adaptive filter is an excellent candidate for both acoustic and network echo cancellation. There is a need for a very good double-talk detector (DTD) to be combined efficiently with the MDF algorithm. Recently, a DTD based on a normaliz...
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2003-01-01
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Online Access: | http://dx.doi.org/10.1155/S1110865703305037 |
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doaj-3a1f2fc57ddf4cda9e5a0b8d0ec455a92020-11-24T21:12:36ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802003-01-01200311814263A Multidelay Double-Talk Detector Combined with the MDF Adaptive FilterGänsler TomasBenesty Jacob<p/> <p>The multidelay block frequency-domain (MDF) adaptive filter is an excellent candidate for both acoustic and network echo cancellation. There is a need for a very good double-talk detector (DTD) to be combined efficiently with the MDF algorithm. Recently, a DTD based on a normalized cross-correlation vector was proposed and it was shown that this DTD performs much better than the Geigel algorithm and other DTDs based on the cross-correlation coefficient. In this paper, we show how to extend the definition of a normalized cross-correlation vector in the frequency domain for the general case where the block size of the Fourier transform is smaller than the length of the adaptive filter. The resulting DTD has an MDF structure, which makes it easy to implement, and a good fit with an echo canceler based on the MDF algorithm. We also analyze resource requirements (computational complexity and memory requirement) and compare the MDF algorithm with the normalized least mean square algorithm (NLMS) from this point of view.</p>http://dx.doi.org/10.1155/S1110865703305037adaptive filteringfrequency domaindouble-talk detectionecho cancellation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gänsler Tomas Benesty Jacob |
spellingShingle |
Gänsler Tomas Benesty Jacob A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter EURASIP Journal on Advances in Signal Processing adaptive filtering frequency domain double-talk detection echo cancellation |
author_facet |
Gänsler Tomas Benesty Jacob |
author_sort |
Gänsler Tomas |
title |
A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter |
title_short |
A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter |
title_full |
A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter |
title_fullStr |
A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter |
title_full_unstemmed |
A Multidelay Double-Talk Detector Combined with the MDF Adaptive Filter |
title_sort |
multidelay double-talk detector combined with the mdf adaptive filter |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2003-01-01 |
description |
<p/> <p>The multidelay block frequency-domain (MDF) adaptive filter is an excellent candidate for both acoustic and network echo cancellation. There is a need for a very good double-talk detector (DTD) to be combined efficiently with the MDF algorithm. Recently, a DTD based on a normalized cross-correlation vector was proposed and it was shown that this DTD performs much better than the Geigel algorithm and other DTDs based on the cross-correlation coefficient. In this paper, we show how to extend the definition of a normalized cross-correlation vector in the frequency domain for the general case where the block size of the Fourier transform is smaller than the length of the adaptive filter. The resulting DTD has an MDF structure, which makes it easy to implement, and a good fit with an echo canceler based on the MDF algorithm. We also analyze resource requirements (computational complexity and memory requirement) and compare the MDF algorithm with the normalized least mean square algorithm (NLMS) from this point of view.</p> |
topic |
adaptive filtering frequency domain double-talk detection echo cancellation |
url |
http://dx.doi.org/10.1155/S1110865703305037 |
work_keys_str_mv |
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