Description

Book Synopsis
This book addresses coding, a new solution to the major challenge of communicating more bits of information in the same radio spectrum.

Table of Contents

Preface ix

1 Introduction 1

1.1 Electrical Communication, 2

1.2 Modulation, 4

1.3 Time and Bandwidth, 9

1.4 Coding Versus Modulation, 13

1.5 A Tour of the Book, 14

1.6 Conclusions, 15

2 Communication Theory Foundation 17

2.1 Signal Space, 18

2.2 Optimal Detection, 24

2.3 Pulse Aliasing, 35

2.4 Signal Phases and Channel Models, 37

2.5 Error Events, 43

2.6 Conclusions, 50

3 Gaussian Channel Capacity 58

3.1 Classical Channel Capacity, 59

3.2 Capacity for an Error Rate and Spectrum, 64

3.3 Linear Modulation Capacity, 68

3.4 Conclusions, 72

4 Faster than Nyquist Signaling 79

4.1 Classical FTN, 80

4.2 Reduced ISI-BCJR Algorithms, 87

4.3 Good Convolutional Codes, 101

4.4 Iterative Decoding Results, 110

4.5 Conclusions, 114

5 Multicarrier FTN 127

5.1 Classical Multicarrier FTN, 128

5.2 Distances, 134

5.3 Alternative Methods and Implementations, 138

5.4 Conclusions, 143

6 Coded Modulation Performance 145

6.1 Set-Partition Coding, 146

6.2 Continuous Phase Modulation, 153

6.3 Conclusions for Coded Modulation; Highlights, 161

7 Optimal Modulation Pulses 163

7.1 Slepian’s Problem, 164

7.2 Said’s Optimum Distance Pulses, 177

7.3 Conclusions, 185

Index 190

Bandwidth Efficient Coding

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    A Hardback by John B. Anderson

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      Publisher: John Wiley & Sons Inc
      Publication Date: 12/05/2017
      ISBN13: 9781119345336, 978-1119345336
      ISBN10: 1119345332

      Description

      Book Synopsis
      This book addresses coding, a new solution to the major challenge of communicating more bits of information in the same radio spectrum.

      Table of Contents

      Preface ix

      1 Introduction 1

      1.1 Electrical Communication, 2

      1.2 Modulation, 4

      1.3 Time and Bandwidth, 9

      1.4 Coding Versus Modulation, 13

      1.5 A Tour of the Book, 14

      1.6 Conclusions, 15

      2 Communication Theory Foundation 17

      2.1 Signal Space, 18

      2.2 Optimal Detection, 24

      2.3 Pulse Aliasing, 35

      2.4 Signal Phases and Channel Models, 37

      2.5 Error Events, 43

      2.6 Conclusions, 50

      3 Gaussian Channel Capacity 58

      3.1 Classical Channel Capacity, 59

      3.2 Capacity for an Error Rate and Spectrum, 64

      3.3 Linear Modulation Capacity, 68

      3.4 Conclusions, 72

      4 Faster than Nyquist Signaling 79

      4.1 Classical FTN, 80

      4.2 Reduced ISI-BCJR Algorithms, 87

      4.3 Good Convolutional Codes, 101

      4.4 Iterative Decoding Results, 110

      4.5 Conclusions, 114

      5 Multicarrier FTN 127

      5.1 Classical Multicarrier FTN, 128

      5.2 Distances, 134

      5.3 Alternative Methods and Implementations, 138

      5.4 Conclusions, 143

      6 Coded Modulation Performance 145

      6.1 Set-Partition Coding, 146

      6.2 Continuous Phase Modulation, 153

      6.3 Conclusions for Coded Modulation; Highlights, 161

      7 Optimal Modulation Pulses 163

      7.1 Slepian’s Problem, 164

      7.2 Said’s Optimum Distance Pulses, 177

      7.3 Conclusions, 185

      Index 190

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