The theory for frames and bases has developed rapidly in recent years because of its role as a mathematical tool in signal and image processing. This is the first comprehensive book to focus on the general properties and interplay of frames and Riesz bases, emphasizing their mathematical aspects. Rich in exercises, applications, and open problems, the work is aimed at graduate students and researchers in pure and applied mathematics, math physics, and engineering. Minimal prerequisites also make the book accessible to professionals working in digital signal processing who wish to understand the theory behind many modern signal processing tools.
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Ole Christensen is a Professor at Technical University of Denmark in the Department of Applied Mathematics and Computer Science. His research interests include harmonic analysis, frame expansions, wavelets, and Gabor systems.
The theory for frames and bases has developed rapidly in recent years because of its role as a mathematical tool in signal and image processing. In this self-contained work, frames and Riesz bases are presented from a functional analytic point of view, emphasizing their mathematical properties. This is the first comprehensive book to focus on the general properties and interplay of frames and Riesz bases, and thus fills a gap in the literature.
Key features:
* Basic results presented in an accessible way for both pure and applied mathematicians
* Extensive exercises make the work suitable as a textbook for use in graduate courses
* Full proofs included in introductory chapters; only basic knowledge of functional analysis required
* Explicit constructions of frames with applications and connections to time-frequency analysis, wavelets, and nonharmonic Fourier series
* Selected research topics presented with recommendations for more advanced topics and further reading
* Open problems to simulate further research
An Introduction to Frames and Riesz Basis will be of interest to graduate students and researchers working in pure and applied mathematics, mathematical physics, and engineering. Professionals working in digital signal processing who wish to understand the theory behind many modern signal processing tools may also find this book a useful self-study reference.
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