A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk
Summary :
This paper proposes a low-distortion noise canceller and its learning algorithm which is robust against crosstalk and is applicable for continuous sounds. The proposed canceller consists of two stages: cancellation of the crosstalk and cancellation of the noise. A recursive filter reduces the number of computations for noise cancellation stage. Separate filters for the adaptation and the filtering are introduced for crosstalk cancellation. Computer simulations show 10 dB improvement of the error power.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.2 pp.414-421
- Publication Date
- 2001/02/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Noise Cancellation and Reduction Techniques)
- Category
- Adaptive Noise Cancellation
Authors
Keyword
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Akihiro HIRANO, Kenji NAKAYAMA, Shinya ARAI, Masaki DEGUCHI, "A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 2, pp. 414-421, February 2001, doi: .
Abstract: This paper proposes a low-distortion noise canceller and its learning algorithm which is robust against crosstalk and is applicable for continuous sounds. The proposed canceller consists of two stages: cancellation of the crosstalk and cancellation of the noise. A recursive filter reduces the number of computations for noise cancellation stage. Separate filters for the adaptation and the filtering are introduced for crosstalk cancellation. Computer simulations show 10 dB improvement of the error power.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_2_414/_p
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@ARTICLE{e84-a_2_414,
author={Akihiro HIRANO, Kenji NAKAYAMA, Shinya ARAI, Masaki DEGUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk},
year={2001},
volume={E84-A},
number={2},
pages={414-421},
abstract={This paper proposes a low-distortion noise canceller and its learning algorithm which is robust against crosstalk and is applicable for continuous sounds. The proposed canceller consists of two stages: cancellation of the crosstalk and cancellation of the noise. A recursive filter reduces the number of computations for noise cancellation stage. Separate filters for the adaptation and the filtering are introduced for crosstalk cancellation. Computer simulations show 10 dB improvement of the error power.},
keywords={},
doi={},
ISSN={},
month={February},}
Copy
TY - JOUR
TI - A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 414
EP - 421
AU - Akihiro HIRANO
AU - Kenji NAKAYAMA
AU - Shinya ARAI
AU - Masaki DEGUCHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2001
AB - This paper proposes a low-distortion noise canceller and its learning algorithm which is robust against crosstalk and is applicable for continuous sounds. The proposed canceller consists of two stages: cancellation of the crosstalk and cancellation of the noise. A recursive filter reduces the number of computations for noise cancellation stage. Separate filters for the adaptation and the filtering are introduced for crosstalk cancellation. Computer simulations show 10 dB improvement of the error power.
ER -
English
