Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applied Mathematics: Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications

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

Chui, Charles K.
Jiang, Qingtang

Hardcover

Series: Mathematics Textbooks for Science and Engineering, Book 2

General ComputersGeneral MathematicsProbability & Statistics

ISBN10: 9462390088
ISBN13: 9789462390089
Publisher: Springer Nature
Published: Oct 14 2013
Pages: 551
Weight: 2.05
Height: 1.40 Width: 6.00 Depth: 9.20
Language: English
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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