Provides the first complete treatment of MIMO transceiver optimization, with plenty of examples, important background material, and detailed summaries.
Provides the first complete treatment of MIMO transceiver optimization, with plenty of examples, important background material, and detailed summaries.
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.
Inhaltsangabe
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.
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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