Acoustic Echo Cancellation Using Sub-Adaptive Filter
Summary :
In the acoustic echo canceller (AEC), the step-size parameter of the adaptive filter must be varied according to the situation if double talk occurs and/or the echo path changes. We propose an AEC that uses a sub-adaptive filter. The proposed AEC can control the step-size parameter according to the situation. Moreover, it offers superior convergence compared to the conventional AEC even when the double talk and the echo path change occur simultaneously. Simulations demonstrate that the proposed AEC can achieve higher ERLE and faster convergence than the conventional AEC. The computational complexity of the proposed AEC can be reduced by reducing the number of taps of the sub-adaptive filter.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.4 pp.1155-1161
- Publication Date
- 2008/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.4.1155
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
Authors
Keyword
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Satoshi OHTA, Yoshinobu KAJIKAWA, Yasuo NOMURA, "Acoustic Echo Cancellation Using Sub-Adaptive Filter" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 4, pp. 1155-1161, April 2008, doi: 10.1093/ietfec/e91-a.4.1155.
Abstract: In the acoustic echo canceller (AEC), the step-size parameter of the adaptive filter must be varied according to the situation if double talk occurs and/or the echo path changes. We propose an AEC that uses a sub-adaptive filter. The proposed AEC can control the step-size parameter according to the situation. Moreover, it offers superior convergence compared to the conventional AEC even when the double talk and the echo path change occur simultaneously. Simulations demonstrate that the proposed AEC can achieve higher ERLE and faster convergence than the conventional AEC. The computational complexity of the proposed AEC can be reduced by reducing the number of taps of the sub-adaptive filter.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.4.1155/_p
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@ARTICLE{e91-a_4_1155,
author={Satoshi OHTA, Yoshinobu KAJIKAWA, Yasuo NOMURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Acoustic Echo Cancellation Using Sub-Adaptive Filter},
year={2008},
volume={E91-A},
number={4},
pages={1155-1161},
abstract={In the acoustic echo canceller (AEC), the step-size parameter of the adaptive filter must be varied according to the situation if double talk occurs and/or the echo path changes. We propose an AEC that uses a sub-adaptive filter. The proposed AEC can control the step-size parameter according to the situation. Moreover, it offers superior convergence compared to the conventional AEC even when the double talk and the echo path change occur simultaneously. Simulations demonstrate that the proposed AEC can achieve higher ERLE and faster convergence than the conventional AEC. The computational complexity of the proposed AEC can be reduced by reducing the number of taps of the sub-adaptive filter.},
keywords={},
doi={10.1093/ietfec/e91-a.4.1155},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - Acoustic Echo Cancellation Using Sub-Adaptive Filter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1155
EP - 1161
AU - Satoshi OHTA
AU - Yoshinobu KAJIKAWA
AU - Yasuo NOMURA
PY - 2008
DO - 10.1093/ietfec/e91-a.4.1155
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2008
AB - In the acoustic echo canceller (AEC), the step-size parameter of the adaptive filter must be varied according to the situation if double talk occurs and/or the echo path changes. We propose an AEC that uses a sub-adaptive filter. The proposed AEC can control the step-size parameter according to the situation. Moreover, it offers superior convergence compared to the conventional AEC even when the double talk and the echo path change occur simultaneously. Simulations demonstrate that the proposed AEC can achieve higher ERLE and faster convergence than the conventional AEC. The computational complexity of the proposed AEC can be reduced by reducing the number of taps of the sub-adaptive filter.
ER -
English
