The mathematics of signal processing

Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis...

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Bibliographic Details
Main Authors: Damelin, Steven B., Miller, Willard (Author)
Format: eBook
Language:English
Published: Cambridge Cambridge University Press 2012
Series:Cambridge texts in applied mathematics
Subjects:
Online Access:
Collection: Cambridge Books Online - Collection details see MPG.ReNa
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245 0 0 |a The mathematics of signal processing  |c Steven B. Damelin, Willard Miller, Jr 
260 |a Cambridge  |b Cambridge University Press  |c 2012 
300 |a xii, 449 pages  |b digital 
505 0 |a Preface -- Introduction -- 1. Normed vector spaces -- 2. Analytic tools -- 3. Fourier series -- 4. The Fourier transform -- 5. Compressive sampling -- 6. Discrete transforms -- 7. Linear filters -- 8. Windowed fourier and continuous wavelet transforms. Frames -- 9. Multiresolution analysis -- 10. Discrete wavelet theory -- 11. Biorthogonal filters and wavelets -- 12. Parsimonious representation of data 
653 |a Signal processing / Mathematics 
700 1 |a Miller, Willard  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b CBO  |a Cambridge Books Online 
490 0 |a Cambridge texts in applied mathematics 
856 4 0 |u https://doi.org/10.1017/CBO9781139003896  |x Verlag  |3 Volltext 
082 0 |a 621.38220151 
520 |a Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y=Φx in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included