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dc.contributor.authorShi, Xizhien_US
dc.date.accessioned2016-06-13T03:07:14Z
dc.date.available2016-06-13T03:07:14Z
dc.date.issued2011en_US
dc.identifier.isbn978-3-642-11346-8en_US
dc.identifier.isbn978-3-642-11347-5en_US
dc.identifier.otherHPU2160073en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/21386
dc.description.abstractBlind Signal Processing: Theory and Practice not only introduces related fundamental mathematics, but also reflects the numerous advances in the field, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order in the separation of convolutive mixtures in frequency domains, and feature extraction using Independent Component Analysis (ICA). At the end of the book, results from a study conducted at Shanghai Jiao Tong University in the areas of speech signal processing, underwater signals, image feature extraction, data compression, and the like are discussed. This book will be of particular interest to advanced undergraduate students, graduate students, university instructors and research scientists in related disciplines. Xizhi Shi is a Professor at Shanghai Jiao Tong University.en_US
dc.format.extent387 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectSignal processingen_US
dc.subjectMathematicsen_US
dc.subjectAlgorithms processingen_US
dc.titleBlind Signal Processing: Theory and Practiceen_US
dc.typeBooken_US
dc.size3.91 MBen_US
dc.departmentEnglish resourcesen_US


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