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A comprehensive Applied Mathematics Textbook on the theory and methods with the central theme of information data processing, manipulation, and compression
Self-contained with minimum prerequisites from elementary linear algebra and calculus
A Text book for teaching at both undergraduate and beginning graduate levels
Self-study for researchers in all disciplines of science and engineering
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.
Content Level »Graduate
Keywords »Algorithms and implementation schemes - Data manipulation and dimensionality reduction - Fourier and wavelet methods - Image and video compression - PDE