Signal Processing and Optimization for Transceiver Systems

"Surprisingly, there are very few textbooks that cover this area in its entirety and with the necessary mathematical rigor. The authors managed to fill this gap with great aptitude. A long list of references and a comprehensive index make this self-contained companion for researchers and advanced graduate students perfect." Computing Reviews

P. P. Vaidyanathan is a Professor of Electrical Engineering at the California Institute of Technology, where he has been a faculty member since 1983. He is an IEEE Fellow and has co-authored over 400 technical papers and two books in the area of signal processing. He has received numerous awards, including the Award for Excellence in Teaching at the California Institute of Technology three times. See-May Phoong is Pa Professor of Electrical Engineering and Graduate Institute of Communication Engineering at the National Taiwan University. He has published over 90 technical papers and is a recipient of the Charles H. Wilts Prize for outstanding independent doctoral research at the California Institute of Technology. Yuan-Pei Lin is a Professor in the Department of Electrical Engineering at the National Chiao Tung University, Taiwan. She has published numerous technical papers, is a recipient of the Ta-You Wu Memorial Award and has received the Award for Excellent Teaching at the National Chiao Tung University.

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.