Blind Separation of Delayed Sourcesbased on Information
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چکیده
BLIND SEPARATION OF DELAYED SOURCES BASED ON INFORMATION MAXIMIZATION Kari Torkkola Motorola, Inc., Phoenix Corporate Research Laboratories, 2100 E. Elliot Rd, MD EL508, Tempe, AZ 85284, USA tel: (602)413-4129, fax: (602)413-5934, email: [email protected] ABSTRACT Recently, Bell and Sejnowski have presented an approach to blind source separation based on the information maximization principle. We extend this approach into more general cases where the sources may have been delayed with respect to each other. We present a network architecture capable of coping with such sources, and we derive the adaptation equations for the delays and the weights in the network by maximizing the information transferred through the network. Examples using wideband sources such as speech are presented to illustrate the algorithm.
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1921 Copyright c The Korean Institute of Electrical Engineers This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/ licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Underdetermined Blind Source...
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