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A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk
Akihiro HIRANO Kenji NAKAYAMA Shinya ARAI Masaki DEGUCHI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2001/02/01
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Noise Cancellation and Reduction Techniques)
Category: Adaptive Noise Cancellation
adaptive noise canceller, crosstalk, low distortion,
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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.