Applied Mathematics : Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications

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...

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Auteurs principaux: Chui, Charles K, 1940-, Jiang, Qingtang, 19..- (Auteur)
Format: Livre numérique
Jezik:Anglais
Izdano: Paris : Atlantis Press 2013.
Cham : Springer Nature
Serija:Mathematics Textbooks for Science and Engineering 2
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Sporočilo: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Applied Mathematics, Texte imprimé, 9789462390102
• Applied mathematics, data compression, spectral methods, fourier analysis, wavelets, and applications, Charles K. Chui, Qingtang Jiang, Paris, Atlantis press, 2013, 1 vol. (XXII-551 p.), Mathematics textbooks for science and engineering, 978-94-6239-008-9
Opis
Izvleček: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
Opis knjige/članka:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9789462390096
ISSN:2213-087X
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Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017