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. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Applied Mathematics: Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications (Mathematics Textbooks for Science and Engineering)
Publisher: Atlantis Press
Publication Date: 2013
Language: English
ISBN 10: 9462390088
ISBN 13: 9789462390089
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

Review

From the book reviews:

“The work under review is an elementary textbook on several contemporary topics in applied mathematics that should appeal to mathematics, science, and engineering students. It is written in a modular form that makes it suitable for a variety of courses or seminars in applied mathematics.” (Marcin M. Bownik, Mathematical Reviews, December, 2014)

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