Adaptive Blind Signal and Image Processing
Theory and Applications
Will be published approx. on 13. January 2022
Book
Hardback
752 pages
978-1-119-23423-4 (ISBN)
Description
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.
More details
Edition
2nd Edition
Language
English
Place of publication
Chicester
United Kingdom
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 244 mm
Width: 170 mm
ISBN-13
978-1-119-23423-4 (9781119234234)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Andrzej Cichocki | Shun-ichi Amari
Adaptive Blind Signal and Image Processing
Learning Algorithms and Applications
Book
04/2002
Wiley
€209.50
Shipment within 10-20 days
Persons
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.
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.