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E-raamat: Bandwidth Efficient Coding [Wiley Online]

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Bandwidth Efficient CodingSuurem pilt
Teised raamatud teemal:
Wiley Online e-raamatudRohkem infot Wiley Online kohta
Raamatu kodulehekülg: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119345244
This book addresses coding, a new solution to the major challenge of communicating more bits of information in the same radio spectrum.





Explores concepts and new transmission methods that have arisen in the last 15 years Discusses the method of faster than Nyquist signaling Provides self-education resources by including design parameters and short MATLAB routines

Bandwidth Efficient Coding takes a fresh look at classical information theory and introduces a different point of view for research and development engineers and graduate students in communication engineering and wireless communication.
Preface ix
1 Introduction
1(16)
1.1 Electrical Communication
2(2)
1.2 Modulation
4(5)
1.3 Time and Bandwidth
9(4)
1.4 Coding Versus Modulation
13(1)
1.5 A Tour of the Book
14(1)
1.6 Conclusions
15(2)
References
16(1)
2 Communication Theory Foundation
17(41)
2.1 Signal Space
18(6)
2.2 Optimal Detection
24(11)
2.2.1 Orthogonal Modulator Detection
24(5)
2.2.2 Trellis Detection
29(6)
2.3 Pulse Aliasing
35(2)
2.4 Signal Phases and Channel Models
37(6)
2.5 Error Events
43(7)
2.5.1 Error Events and dmin
43(5)
2.5.2 Error Fourier Spectra
48(2)
2.6 Conclusions
50(8)
Appendix 2A Calculating Minimum Distance
50(6)
References
56(2)
3 Gaussian Channel Capacity
58(21)
3.1 Classical Channel Capacity
59(5)
3.2 Capacity for an Error Rate and Spectrum
64(4)
3.3 Linear Modulation Capacity
68(4)
3.4 Conclusions
72(7)
Appendix 3A Calculating Shannon Limits
73(4)
References
77(2)
4 Faster than Nyquist Signaling
79(48)
4.1 Classical FTN
80(7)
4.1.1 Origins of FTN
80(1)
4.1.2 Definition of FTN Signaling
81(5)
4.1.3 Discrete-Time Models
86(1)
4.2 Reduced ISI-BCJR Algorithms
87(14)
4.2.1 Reduced Trellis Methods: The Tail Offset BCJR
89(4)
4.2.2 Reduced-Search Methods: The M-BCJR
93(6)
4.2.3 The ISI Characteristic
99(2)
4.3 Good Convolutional Codes
101(9)
4.3.1 Binary CC Slope Analysis
102(3)
4.3.2 Good Binary Modulation Codes
105(2)
4.3.3 Good Convolutional Codes for 4-ary Modulation
107(3)
4.4 Iterative Decoding Results
110(4)
4.5 Conclusions
114(13)
Appendix 4A Super Minimum-Phase FTN Models
115(1)
Appendix 4B Good Convolutional Codes for FTN Signaling
116(8)
References
124(3)
5 Multicarrier FTN
127(18)
5.1 Classical Multicarrier FTN
128(6)
5.2 Distances
134(4)
5.2.1 Finding Distances
134(2)
5.2.2 Minimum Distances and the Mazo Limit
136(2)
5.3 Alternative Methods and Implementations
138(5)
5.4 Conclusions
143(2)
References
143(2)
6 Coded Modulation Performance
145(18)
6.1 Set-Partition Coding
146(7)
6.1.1 Set-Partition Basics
146(4)
6.1.2 Shannon Limit and Coding Performance
150(3)
6.2 Continuous Phase Modulation
153(8)
6.2.1 CPM Basics
153(4)
6.2.2 Bits per Hz-s and the Shannon Limit in CPM
157(1)
6.2.3 Error Performance of CPM
158(3)
6.3 Conclusions for Coded Modulation; Highlights
161(2)
References
161(2)
7 Optimal Modulation Pulses
163(25)
7.1 Slepian's Problem
164(13)
7.1.1 PSWF Pulse Solution
165(4)
7.1.2 Gauss and Gauss-Like Pulses
169(3)
7.1.3 Occupancy of Linear Modulation with FTN
172(3)
7.1.4 PSWF and Gauss Linear Modulation with FTN
175(2)
7.2 Said's Optimum Distance Pulses
177(8)
7.2.1 Linear Programming Solution
178(2)
7.2.2 Optimal Modulation Tap Sets
180(2)
7.2.3 Coded and Uncoded Error Performance
182(3)
7.3 Conclusions
185(3)
Appendix 7A Calculating the PSWF
185(3)
Appendix 7B Optimum Distance Tap Sets
188(1)
References 188(2)
Index 190
JOHN B. ANDERSON is the Ericsson Chair in Digital Communication at Lund University in Sweden. He received his Ph.D. in electrical engineering from Cornell University in 1972. His research work is in coding and communication algorithms, bandwidth-efficient coding, and data compression. Dr. Anderson served as President and Vice President of the IEEE Information Theory Society, and in 1983 and 2006 was Co-Chair of the IEEE International Symposium on Information Theory. He served on the Publications Board of IEEE on three occasions, and was Editor-in-Chief of IEEE Press during 1994-96 and 2012-13. He won the Humboldt Research Prize in 1991. Dr. Anderson is the author of two other Wiley-IEEE Press titles: Understanding Information Transmission (2005) and Digital Transmission Engineering, Second Edition (2005).
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