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Adaptive Blind Signal and Image Processing : Theory and Applications
Adaptive Blind Signal and Image Processing : Theory and Applications
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Author(s): Amari, Shun-Ichi
Cichocki, Andrzej
Phan, Anh Huy
ISBN No.: 9781119234234
Pages: 752
Year: 202406
Format: Trade Cloth (Hard Cover)
Price: $ 220.73
Dispatch delay: Dispatched between 7 to 15 days
Status: Available (Forthcoming)

Andrzej Cichocki, Brian Science Institute RIKEN, Japan Since 1972, Dr. Cichocki has been with the Institute of Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering at the Warsaw University of Technology. In 1995-1997 he was a team leader of the laboratory for Artificial Brain Systems, at Frontier Research Program RIKEN, in the Brain Information Processing Group. He is currently senior team leader and the head of the Cichocki laboratory for Advanced Brain Signal Processing at the RIKEN Brain Science Institute in Japan. He is co-author of more than 300 technical papers and four internationally recognized monographs (two of them translated to Chinese). Shun-ichi Amari, Brain Science Institute RIKEN, Japan After completing his professorship at The University of Tokyo, Professor Shun-ichi Amari moved to The Institute of Physical and Chemical Research RIKEN where he holds the position of vice-president of Brain Science Institute, director of Brain Style Information Systems Group and team leader of Mathematical Neuroscience Laboratory. He serves on the boards of numerous scientific journals and committees. Anh Huy Phan, Laboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN, Japan Anh Huy Phan is a researcher at the Laboratory for Advanced Brian Signal Processing at the Riken Brain Science Institute.


Rafal Zdunek, Laboratory for Advanced Brain and Signal Processing, Brain Science Institute RIKEN, Japan Dr. Zdunek is a Research Scientist at the RIKEN Brain Science Institute, Japan. He is also affiliated with the Wroclaw University of Technology, Poland.


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Browse Subject Headings