Adaptive Blind Signal and Image Processing: Theory and Applications

Author:   Andrzej Cichocki ,  Shun–ichi Amari ,  Anh Huy Phan ,  Rafal Zdunek
Publisher:   John Wiley and Sons Ltd
Edition:   2nd Edition
ISBN:  

9781119234234


Pages:   752
Publication Date:   13 January 2022
Format:   Hardback
Availability:   Not yet available   Availability explained
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Adaptive Blind Signal and Image Processing: Theory and Applications


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Overview

This book is a unification and extension of the theories behind adaptive blind signal and image processing, providing practical and efficient algorithms for many different and novel applications, including the latest developments and additional material not included in the first edition. This includes new material on multiway analysis, sparse representation and dictionary learning (including tensor dictionary learning and sparse representation), singular spectrum analysis, informed source representation, compressive sensing, analysis modes such as independent vector, latent variable and sparse component analysis among many other significant updates. Accompanying the book is a host of MATLAB examples code and executable programs to enhance understanding of the novel techniques employed in BSP.

Full Product Details

Author:   Andrzej Cichocki ,  Shun–ichi Amari ,  Anh Huy Phan ,  Rafal Zdunek
Publisher:   John Wiley and Sons Ltd
Imprint:   Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Edition:   2nd Edition
ISBN:  

9781119234234


ISBN 10:   1119234239
Pages:   752
Publication Date:   13 January 2022
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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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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