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 detaile...
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2010
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| Subjects: | |
| Online Access: | BSB01 FHN01 Volltext |
| 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 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 |
| Item Description: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Physical Description: | 1 online resource (xviii, 855 pages) |
| ISBN: | 9781139042741 |
| DOI: | 10.1017/CBO9781139042741 |
Staff View
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| 505 | 8 | |a 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 | |
| 520 | |a 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 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 | ||
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Record in the Search Index
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| any_adam_object | |
| author | Vaidyanathan, P. P. |
| author_facet | Vaidyanathan, P. P. |
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| 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 majorization theory -- 22. Optimization with equality and inequality constraints |
| ctrlnum | (ZDB-20-CBO)CR9781139042741 (OCoLC)992903729 (DE-599)BVBBV043943820 |
| dewey-full | 621.384131 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.384131 |
| dewey-search | 621.384131 |
| dewey-sort | 3621.384131 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1017/CBO9781139042741 |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:39:20Z |
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| isbn | 9781139042741 |
| language | English |
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| spelling | Vaidyanathan, P. P. Verfasser aut Signal processing and optimization for transceiver systems P.P. Vaidyanathan, See-May Phoong, Yuan-Pei Lin Signal Processing & Optimization for Transceiver Systems Cambridge Cambridge University Press 2010 1 online resource (xviii, 855 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 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 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 Signal processing MIMO systems Radio / Transmitter-receivers Transceiver (DE-588)4507910-9 gnd rswk-swf MIMO (DE-588)7540075-3 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 s MIMO (DE-588)7540075-3 s Transceiver (DE-588)4507910-9 s 1\p DE-604 Phoong, See-May Sonstige oth Lin, Yuan-Pei Sonstige oth Erscheint auch als Druckausgabe 978-0-521-76079-9 https://doi.org/10.1017/CBO9781139042741 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Vaidyanathan, P. P. Signal processing and optimization for transceiver systems 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 Signal processing MIMO systems Radio / Transmitter-receivers Transceiver (DE-588)4507910-9 gnd MIMO (DE-588)7540075-3 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
| subject_GND | (DE-588)4507910-9 (DE-588)7540075-3 (DE-588)4054947-1 |
| title | Signal processing and optimization for transceiver systems |
| title_alt | Signal Processing & Optimization for Transceiver Systems |
| title_auth | Signal processing and optimization for transceiver systems |
| title_exact_search | Signal processing and optimization for transceiver systems |
| title_full | Signal processing and optimization for transceiver systems P.P. Vaidyanathan, See-May Phoong, Yuan-Pei Lin |
| title_fullStr | Signal processing and optimization for transceiver systems P.P. Vaidyanathan, See-May Phoong, Yuan-Pei Lin |
| title_full_unstemmed | Signal processing and optimization for transceiver systems P.P. Vaidyanathan, See-May Phoong, Yuan-Pei Lin |
| title_short | Signal processing and optimization for transceiver systems |
| title_sort | signal processing and optimization for transceiver systems |
| topic | Signal processing MIMO systems Radio / Transmitter-receivers Transceiver (DE-588)4507910-9 gnd MIMO (DE-588)7540075-3 gnd Signalverarbeitung (DE-588)4054947-1 gnd |
| topic_facet | Signal processing MIMO systems Radio / Transmitter-receivers Transceiver MIMO Signalverarbeitung |
| url | https://doi.org/10.1017/CBO9781139042741 |
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