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Titlebook: New Advances in Intelligent Signal Processing; António E. Ruano,Annamária R. Várkonyi-Kóczy Book 20111st edition Springer-Verlag Berlin He

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發(fā)表于 2025-3-21 18:43:01 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱New Advances in Intelligent Signal Processing
編輯António E. Ruano,Annamária R. Várkonyi-Kóczy
視頻videohttp://file.papertrans.cn/665/664749/664749.mp4
概述State of the art of intelligent signal processing.Best papers of the IEEE WISP as a "jubilee book" on the occasion of the 10 year anniversary of the symposium-serie.Written by leading experts in this
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: New Advances in Intelligent Signal Processing;  António E. Ruano,Annamária R. Várkonyi-Kóczy Book 20111st edition Springer-Verlag Berlin He
描述.The current volume “New Advances in Intelligent Signal Processing” contains extended works based on a careful selection of papers presented originally at the jubilee sixth IEEE International Symposium on Intelligent Signal Processing (WISP’2009), held in Budapest Hungary, August 26-28, 2009 - celebrating the 10. .years anniversary of the WISP event series. .The present book does not intent to be an overall survey on the fields of interest of the area, but tries to find topics which represent new, hot, and challenging problems..The book begins with papers investigating selected problems of Modeling, Identification, and Clustering such as ?fuzzy random variables, evolutionary multi-objective neural network models, a structural learning model of neural networks within a Boltzmann machine, a robust DNA-based clustering techniques, and the advances of combining multi-criteria analysis of signals and pattern recognition using machine learning principles..In the second part of the book Image Processing is treated. The carefully edited chapters deal with fuzzy relation based image enhancement, image contrast control technique based on the application of ?ukasiewicz algebra operators, low
出版日期Book 20111st edition
關(guān)鍵詞Computational Intelligence; Intelligent Signal Processing
版次1
doihttps://doi.org/10.1007/978-3-642-11739-8
isbn_softcover978-3-642-26937-0
isbn_ebook978-3-642-11739-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2011
The information of publication is updating

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Application of Fuzzy Logic and Lukasiewicz Operators for Image Contrast Control,ded-sum and the bounded-product . The selection of the control parameters is performed by a fuzzy system. An interesting feature when applying these operators is that it allows low cost hardware realizations (in terms of resources) and high processing speed.
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Design of Fuzzy Relation-Based Image Sharpeners,llation. For this purpose, the different behaviors of fuzzy relation-based high-pass filters and noise smoothers are explained along with the effects of different parameter settings. Results of computer simulations show that fuzzy relation-based processing is an effective resource for the sharpening of noisy images and is easy to use.
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