DocumentCode
2017576
Title
Active noise control for selective attention using blind source separation
Author
Sohn, Jun-il ; Lee, Minho
Author_Institution
Dept. of Sensor Eng., Kyungpook Nat. Univ., Taegu, South Korea
Volume
1
fYear
1999
fDate
1999
Firstpage
198
Abstract
In this paper, we propose a new active noise control system that can selectively cancel a particular noise signal from a mixture. Blind source separation of the desired signal from the other noise signals is performed by a dynamic recurrent neural network that is used as a preprocessor of the active noise control system. The active noise control system adaptively generates an anti-noise signal to remove only the separated noise signal. Computer experimental results show that the proposed scheme can be effective in the construction of a selective attention system
Keywords
acoustic signal processing; active noise control; active noise control system; adaptive anti-noise signal generation; blind source separation; dynamic recurrent neural network; noise signals; preprocessor; selective attention; selective noise signal cancellation; Acoustic noise; Active noise reduction; Blind source separation; Control systems; Entropy; Noise cancellation; Noise generators; Recurrent neural networks; Sensor arrays; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-5871-6
Type
conf
DOI
10.1109/ICONIP.1999.843986
Filename
843986
Link To Document