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Titlebook: Principles of Adaptive Filters and Self-learning Systems; Anthony Zaknich,Michael J. Grimble (Professor of I Textbook 2005 Springer-Verlag

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書目名稱Principles of Adaptive Filters and Self-learning Systems
編輯Anthony Zaknich,Michael J. Grimble (Professor of I
視頻videohttp://file.papertrans.cn/756/755445/755445.mp4
概述Teaches students about classical and nonclassical adaptive systems within one pair of covers.Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance.The r
叢書名稱Advanced Textbooks in Control and Signal Processing
圖書封面Titlebook: Principles of Adaptive Filters and Self-learning Systems;  Anthony Zaknich,Michael J. Grimble (Professor of I Textbook 2005 Springer-Verlag
描述The topics of control engineering and signal processing continue to flourish and develop. In common with general scientific investigation, new ideas, concepts and interpretations emerge quite spontaneously and these are then discussed, used, discarded or subsumed into the prevailing subject paradigm. Sometimes these innovative concepts coalesce into a new sub-discipline within the broad subject tapestry of control and signal processing. This preliminary battle between old and new usually takes place at conferences, through the Internet and in the journals of the discipline. After a little more maturity has been acquired by the new concepts then archival publication as a scientific or engineering monograph may occur. A new concept in control and signal processing is known to have arrived when sufficient material has evolved for the topic to be taught as a specialised tutorial workshop or as a course to undergraduate, graduate or industrial engineers. Advanced Textbooks in Control and Signal Processing are designed as a vehicle for the systematic presentation of course material for both popular and innovative topics in the discipline. It is hoped that prospective authors will welcome
出版日期Textbook 2005
關(guān)鍵詞Adaptive Filter; Signal; adaptive control; algorithms; control; filtering; filters; fuzzy; fuzzy logic; genet
版次1
doihttps://doi.org/10.1007/b138890
isbn_softcover978-1-85233-984-5
isbn_ebook978-1-84628-121-1Series ISSN 1439-2232 Series E-ISSN 2510-3814
issn_series 1439-2232
copyrightSpringer-Verlag London 2005
The information of publication is updating

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