Introduction to sparse stochastic processes / Michael Unser and Pouya D. Tafti.
Material type:
TextPublication details: Cambridge : Cambridge University Press, 2014.Description: xviii, 367 p. : illustrations ; 26 cmISBN: - 9781107058545 (hardback)
- 519.23 23 Un59
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 519.23 Un59 (Browse shelf(Opens below)) | Available | 136368 |
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| 519.23 T882 Random integral equations with applications to life sciences and engineering | 519.23 T912 Analysis of variations for self-similar processes : | 519.23 Un58(94) Stochastic analysis on infinite dimensional spaces | 519.23 Un59 Introduction to sparse stochastic processes / | 519.23 Ur76 Signal theory and random processes | 519.23 V262 Random fields | 519.23 V287 Stochastic processes |
Includes bibliographical references and index.
1. Introduction;
2. Roadmap to the book;
3. Mathematical context and background;
4. Continuous-domain innovation models;
5. Operators and their inverses;
6. Splines and wavelets;
7. Sparse stochastic processes;
8. Sparse representations;
9. Infinite divisibility and transform-domain statistics;
10. Recovery of sparse signals;
11. Wavelet-domain methods;
12. Conclusion;
Appendix A. Singular integrals;
Appendix B. Positive definiteness;
Appendix C. Special functions;
References;
Index.
A detailed guide to sparsity, providing a description of their transform-domain statistics and applying the models to practical algorithms.
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