Introduction to Sparse Stochastic Processes

Informationen zum Autor Michael Unser is Professor and Director of EPFL's Biomedical Imaging Group, Switzerland. He is a member of the Swiss Academy of Engineering Sciences, a Fellow of EURASIP, and a Fellow of the IEEE. Pouya D. Tafti is a data scientist currently residing in Germany, and a former member of the Biomedical Imaging Group at EPFL, where he conducted research on the theory and applications of probabilistic models for data. Klappentext A detailed guide to sparsity, providing a description of their transform-domain statistics and applying the models to practical algorithms. Zusammenfassung Providing a novel approach to sparsity! this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic differential equations! and sets out a general stochastic framework for developing efficient and practical nonlinear algorithms. Inhaltsverzeichnis 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.

Détails du produit

• Auteurs: Pouya Tafti, Pouya D. Tafti, Pouya D. (Ecole Polytechnique Federale de Lausanne) Tafti, Tafti Pouya D., Michael Unser, Michael (Ecole Polytechnique Federale De La Unser, Michael (Ecole Polytechnique Federale de Lausanne) Unser, Michael A. Unser, Michael Tafti Unser, Unser Michael
• Edition: Cambridge University Press ELT
• Langues: Anglais
• Format d'édition: Livre Relié
• Sortie: 21.08.2014
• EAN: 9781107058545
• ISBN: 978-1-107-05854-5
• Pages: 384
• Catégories: Sciences naturelles, médecine, informatique, technique > Médecine > Général; TECHNOLOGY & ENGINEERING / Signals & Signal Processing, Signal Processing, Probability & statistics, Stochastics, Biomedical engineering, Image processing, Electronics engineering, Communications engineering / telecommunications, Imaging systems and technology