000			03599nam a22003978i 4500
001			CR9781139042741
003			UkCbUP
005			20220711202543.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110302s2010||||enk o ||1 0|eng|d
020			_a9781139042741 (ebook)
020			_z9780521760799 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTK6561 _b.V35 2010
082	0	4	_a621.384131 _222
100	1		_aVaidyanathan, P. P., _eauthor. _94554
245	1	0	_aSignal processing and optimization for transceiver systems / _cP.P. Vaidyanathan, See-May Phoong, Yuan-Pei Lin.
246	3		_aSignal Processing & Optimization for Transceiver Systems
264		1	_aCambridge : _bCambridge University Press, _c2010.
300			_a1 online resource (xviii, 855 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aPart 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.
520			_aPresenting 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 functions, matrix calculus, and constrained optimization, together with eight appendices providing further background material on topics such as matrix theory, random processes, and sampling theory. A final ninth appendix provides a grand summary of all the optimization results. With 360 illustrations, over 70 worked examples, and numerous summary tables provided to aid understanding of key concepts, this book is ideal for graduate students, practitioners, and researchers in the fields of communications and signal processing.
650		0	_aSignal processing. _94052
650		0	_aMIMO systems. _94555
650		0	_aRadio _xTransmitter-receivers. _94556
700	1		_aPhoong, See-May, _eauthor. _94557
700	1		_aLin, Yuan-Pei, _eauthor. _94558
776	0	8	_iPrint version: _z9780521760799
856	4	0	_uhttps://doi.org/10.1017/CBO9781139042741
942			_cEBK
999			_c68287 _d68287