This textbook, apart from introducing the basic aspects of applied mathematics, focuses on recent topics such as information data manipulation, information coding, data approximation, data dimensionality reduction, data compression, time-frequency and time scale bases, image manipulation, and image noise removal. The methods treated in more detail include spectral representation and “frequency” of the data, providing valuable information for, e.g. data compression and noise removal. Furthermore, a special emphasis is also put on the concept of “wavelets” in connection with the “multi-scale” structure of data-sets. The presentation of the book is elementary and easily accessible, requiring only some knowledge of elementary linear algebra and calculus. All important concepts are illustrated with examples, and each section contains between 10 an 25 exercises. A teaching guide, depending on the level and discipline of instructions is included for classroom teaching and self-study.
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Prof. Dr. Charles K. Chui, Stanford University, Stanford, CA, USA Prof. Dr. Guanrong Chen, City Univesity Hong Kong, Kowloon, Hong Kong, PR China
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XXII, 551 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Mathematics Textbooks for Science and Engineering Bd. 2. Sprache: Englisch. Bestandsnummer des Verkäufers 4305IB
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook, apart from introducing the basic aspects of applied mathematics, focuses on recent topics such as information data manipulation, information coding, data approximation, data dimensionality reduction, data compression, time-frequency and time scale bases, image manipulation, and image noise removal.The methods treated in more detail include spectral representation and 'frequency' of the data, providing valuable information for, e.g. data compression and noise removal. Furthermore, a special emphasis is also put on the concept of 'wavelets' in connection with the 'multi-scale' structure of data-sets.The presentation of the book is elementary and easily accessible, requiring only some knowledge of elementary linear algebra and calculus. All important concepts are illustrated with examples, and each section contains between 10 an 25 exercises. A teaching guide, depending on the level and discipline of instructions is included for classroom teaching and self-study. 576 pp. Englisch. Bestandsnummer des Verkäufers 9789462390089
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A comprehensive Applied Mathematics Textbook on the theory and methods with the central theme of information data processing, manipulation, and compressionSelf-contained with minimum prerequisites from elementary linear algebra and calculus. Bestandsnummer des Verkäufers 5839545
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Zustand: New. Applied Mathematics Series: Mathematics Textbooks for Science and Engineering. Num Pages: 551 pages, 27 black & white illustrations, 36 colour illustrations, biography. BIC Classification: PBW. Category: (P) Professional & Vocational. Dimension: 242 x 161 x 36. Weight in Grams: 992. . 2013. 2013th Edition. hardcover. . . . . Bestandsnummer des Verkäufers V9789462390089
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