Signal processing and optimization for transceiver systems
Presenting the first complete treatment of MIMO transceiver optimization, this self-contained book provides all the mathematical information needed to understand transceiver optimization in a single volume. It begins with a review of digital communication fundamentals, and then moves on to a detailed study of joint transceiver optimization, starting from simple single-input single-output channels all the way to minimum bit error rate transceivers for MIMO channels. Crucial background material i…
Read More ↓Title Statements
- Full title :Signal processing and optimization for transceiver systems / P.P. Vaidyanathan, See-May Phoong, Yuan-Pei Lin
Summary
Presenting the first complete treatment of MIMO transceiver optimization, this self-contained book provides all the mathematical information needed to understand transceiver optimization in a single volume. It begins with a review of digital communication fundamentals, and then moves on to a detailed study of joint transceiver optimization, starting from simple single-input single-output channels all the way to minimum bit error rate transceivers for MIMO channels. Crucial background material is covered, such as Schur convex
Read More ↓Edition Statements
- Publication Date:2010
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge, UK
- Language:eng
- Publication Date:2010
The Physical Object
- Description:xviii, 855 s. : : illustrations ; : 26 cm
Edition Identifiers
- ISBN:9780521760799, 0521760798
- oclc:ocn760719830
- LC Classification:TK6561
Table of Contents
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
Read More ↓Subjects
Writers
No reviews yet. Be the first to rate this work.
Related Works
more →
Files & Downloads
-
Signal Processing and Optimization for Transceive…
PDF · 12.0 MB · updated -
Signal Processing and Optimization for Transceive…
PDF · 4.7 MB · updated -
Signal Processing and Optimization for Transceive…
PDF · 5.0 MB · updated
Rate & Review