An Introduction to Finite Tight Frames

Nonfiction, Science & Nature, Mathematics, Mathematical Analysis, Technology, Electronics
Cover of the book An Introduction to Finite Tight Frames by Shayne F. D. Waldron, Springer New York
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Author: Shayne F. D. Waldron ISBN: 9780817648152
Publisher: Springer New York Publication: February 3, 2018
Imprint: Birkhäuser Language: English
Author: Shayne F. D. Waldron
ISBN: 9780817648152
Publisher: Springer New York
Publication: February 3, 2018
Imprint: Birkhäuser
Language: English

This textbook is an introduction to the theory and applications of finite tight frames, an area that has developed rapidly in the last decade. Stimulating much of this growth are the applications of finite frames to diverse fields such as signal processing, quantum information theory, multivariate orthogonal polynomials, and remote sensing. 

Featuring exercises and MATLAB examples in each chapter, the book is well suited as a textbook for a graduate course or seminar involving finite frames. The self-contained, user-friendly presentation also makes the work useful as a self-study resource or reference for graduate students, instructors, researchers, and practitioners in pure and applied mathematics, engineering, mathematical physics, and signal processing.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This textbook is an introduction to the theory and applications of finite tight frames, an area that has developed rapidly in the last decade. Stimulating much of this growth are the applications of finite frames to diverse fields such as signal processing, quantum information theory, multivariate orthogonal polynomials, and remote sensing. 

Featuring exercises and MATLAB examples in each chapter, the book is well suited as a textbook for a graduate course or seminar involving finite frames. The self-contained, user-friendly presentation also makes the work useful as a self-study resource or reference for graduate students, instructors, researchers, and practitioners in pure and applied mathematics, engineering, mathematical physics, and signal processing.

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