Mathematical foundations for signal processing, communications, and networking
Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the design, analysis, and optimization of signal processing algorithms, modern communication systems, and networks. Helping readers master key techniques and compre...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
CRC Press
2017.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628202306719 |
Tabla de Contenidos:
- Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; Editors; List of Contributors; List of Acronyms; Notations and Symbols; 1. Introduction; 2. Signal Processing Transforms; 3. Linear Algebra; 4. Elements of Galois Fields; 5. Numerical Analysis; 6. Combinatorics; 7. Probability, Random Variables, and Stochastic Processes; 8. Random Matrix Theory; 9. Large Deviations; 10. Fundamentals of Estimation Theory; 11. Fundamentals of Detection Theory; 12. Monte Carlo Methods for Statistical Signal Processing; 13. Factor Graphs and Message Passing Algorithms
- 14. Unconstrained and Constrained Optimization Problems15. Linear Programming and Mixed Integer Programming; 16. Majorization Theory and Applications; 17. Queueing Theory; 18. Network Optimization Techniques; 19. Game Theory; 20. A Short Course on Frame Theory
