The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 누화에 강하고 연속적인 소리에 적용할 수 있는 저왜곡 잡음 제거기와 그 학습 알고리즘을 제안한다. 제안된 제거기는 누화 제거와 잡음 제거의 두 단계로 구성된다. 재귀 필터는 잡음 제거 단계의 계산 수를 줄입니다. 누화 제거를 위해 적응 및 필터링을 위한 별도의 필터가 도입되었습니다. 컴퓨터 시뮬레이션에서는 오류 전력이 10dB 개선된 것으로 나타났습니다.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
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
부
@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},}
부
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 -