An introduction to random matrix theory and its applications to real-world problems in signal processing and wireless communications.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Romain Couillet is an Assistant Professor at the Chair on System Sciences and the Energy Challenge at Supélec, France. Previously he was an Algorithm Development Engineer for ST-Ericsson and he received his Ph.D. from Supélec in 2010.
Inhaltsangabe
1. Introduction Part I. Theoretical Aspects: 2. Random matrices 3. The Stieltjes transform method 4. Free probability theory 5. Combinatoric approaches 6. Deterministic equivalents 7. Spectrum analysis 8. Eigen-inference 9. Extreme eigenvalues 10. Summary and partial conclusions Part II. Applications to Wireless Communications: 11. Introduction to applications in telecommunications 12. System performance of CDMA technologies 13. Performance of multiple antenna systems 14. Rate performance in multiple access and broadcast channels 15. Performance of multi-cellular and relay networks 16. Detection 17. Estimation 18. System modeling 19. Perspectives 20. Conclusion.
1. Introduction Part I. Theoretical Aspects: 2. Random matrices 3. The Stieltjes transform method 4. Free probability theory 5. Combinatoric approaches 6. Deterministic equivalents 7. Spectrum analysis 8. Eigen-inference 9. Extreme eigenvalues 10. Summary and partial conclusions Part II. Applications to Wireless Communications: 11. Introduction to applications in telecommunications 12. System performance of CDMA technologies 13. Performance of multiple antenna systems 14. Rate performance in multiple access and broadcast channels 15. Performance of multi-cellular and relay networks 16. Detection 17. Estimation 18. System modeling 19. Perspectives 20. Conclusion.
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