Share
Applied Mathematics: Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications
Charles K. Chui
(Author)
·
Qingtang Jiang
(Author)
·
Atlantis Press
· Hardcover
Applied Mathematics: Data Compression, Spectral Methods, Fourier Analysis, Wavelets, and Applications - Chui, Charles K. ; Jiang, Qingtang
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, July 12 and
Friday, July 19.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "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 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.
