IEEE International Conference on Acoustics , Speech & Signal Processing
نویسنده
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.
منابع مشابه
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014
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2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '03, Hong Kong, April 6-10, 2003
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Field of the Invention
DATA DETECTION Kiyoshi Yokota, et al. in "A New Missing ATM Cell Reconstruction Scheme for ADPCM-Coded Speech', Pro ceedings of the International Conference of Acoustics, Speech, and Signal Processing 1989. Cointot and G. de PassoZ in "A 60-Channel PCM-ADPCM Converter Robust to Channel Errors', Proceedings of the International Conference of Acoustics, Speech, and Signal Processing 1982. D. Kim ...
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