图书简介

Part I. Communication Fundamentals: 1. Introduction; 2. Review of basic ideas from digital communication; 3. Digital communication systems and filter banks; 4. Discrete time representations; 5. Classical transceiver techniques; 6. Channel capacity; 7. Channel equalization with transmitter redundancy; 8. The lazy precoder with a zero-forcing equalizer; Part II. Transceiver Optimization: 9. History and outline; 10. Single-input single-output transceiver optimization; 11. Optimal transceivers for diagonal channels; 12. MMSE transceivers with zero-forcing equalizers; 13. MMSE transceivers without zero forcing; 14. Bit allocation and power minimization; 15. Transceivers with orthonormal precoders; 16. Minimization of error probability in transceivers; 17. Optimization of cyclic prefix transceivers; 18. Optimization of zero padded systems; 19. Transceivers with decision feedback equalizers; Part III. Mathematical Background: 20. Matrix differentiation; 21. Convexity, Schur convexity and majorization theory; 22. Optimization with equality and inequality constraints; Part IV. Appendices: A. Inner products, norms, and inequalities; B. Matrices: a brief overview; C. Singular value decomposition; D. Properties of pseudocirculant matrices; E. Random processes; F. Wiener filtering; G. Review of concepts from sampling theory; H. Euclid’s algorithm; I. Transceiver optimization; Summary and tables; Glossary and acronyms; Bibliography.

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