Introduction to sparse stochastic processes / Michael Unser and Pouya D. Tafti.

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.