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Digital Communications: A Discrete-Time Approach
by Michael Rice

Textbook Information

Digital Communications: A Discrete-Time Approach
By Michael Rice
Publisher: Pearson Prentice-Hall (2009)
ISBN-10: 0130304972
ISBN-13: 9780130304971



Take an exciting non-traditional approach to the traditional topic of digital communications! Rice uses the principles of discrete-time signal processing to introduce and analyze digital communications – connecting continuous-time and discrete-time ideas. Often neglected topics such as carrier phase synchronization, symbol timing synchronization, pulse shaping issues, and channelization are derived from basic principles in the discrete-time domain. Extensive details on implementation are also included.


1 Introduction

1.1 A Brief History of Communications

1.2 Basics of Wireless Communications

1.3 Digital Communications

1.4 Why Discrete-Time Processing is so Popular

1.5 Organization of the Text

1.6 Notes and References

2 Signals and Systems 1: A Review of the Basics

2.1 Introduction

2.2 Signals

2.3 Systems

2.4 Frequency Domain Characterization

2.5 The Discrete Fourier Transform

2.6 The Relationship Between Discrete-Time and Continuous-Time Systems

2.7 Discrete-Time Processing of Bandpass Signals

2.8 Notes and References

2.9 Exercises

3 Signals and Systems 2: Some Useful Discrete-Time Techniques for Digital Communications

3.1 Introduction

3.2 Multirate Signal Processing

3.3 Discrete-Time Filter Design Methods

3.4 Notes and References

3.5 Exercises

4 Review of Probability Theory

4.1 Basic Definitions

4.2 Gaussian Random Variables

4.3 Multivariate Gaussian Random Variables

4.4 Random Sequences

4.5 Additive White Gaussian Noise

4.6 Notes and References

4.7 Exercises

5 Linear Modulation 1: Demodulation and Detection

5.1 Signal Spaces

5.2 M-ary Baseband Pulse Amplitude Modulation (PAM)

5.3 M-ary Quadrature Amplitude Modulation (MQAM)

5.4 Offset QPSK

5.5 Multicarrier Modulation

5.6 Maximum Likelihood Detection

5.7 Notes and References

5.8 Exercises

6 Linear Modulation 2: Performance

6.1 Performance of PAM

6.2 Performance of MQAM

6.3 Comparisons

6.4 Link Budgets

6.5 Multicarrier Modulation

6.6 Projecting White Noise Onto an Orthonormal Basis Set

6.7 Notes and References

6.8 Exercises

7 Carrier Phase Synchronization

7.1 Basic Problem Formulation

7.2 Carrier Phase Synchronization for QPSK

7.3 Carrier Phase Synchronization for BPSK

7.4 Carrier Phase Synchronization for MQAM

7.5 Carrier Phase Synchronization for OQPSK

7.6 Carrier Phase Synchronization for BPSK and QPSK Using Continuous-Time Techniques

7.7 Phase Ambiguity Resolution

7.8 Maximum Likelihood Phase Estimation

7.9 Notes and References

7.10 Exercises

8 Symbol Timing Synchronization

8.1 Basic Problem Formulation

8.2 Continuous-Time Techniques for M-ary PAM

8.3 Continuous-Time Techniques MQAM

8.4 Discrete-Time Techniques for M-ary PAM

8.5 Discrete-Time Techniques for MQAM

8.6 Discrete-Time Techniques for OQPSK

8.7 Dealing with Transition Density: A Practical Consideration

8.8 Maximum Likelihood Estimation

8.9 Notes and References

8.10 Exercises

9 System Components

9.1 The Continuous-Time Discrete-Time Interface

9.2 Discrete-Time Oscillators

9.3 Resampling Filters

9.4 CoRDiC: Coordinate Rotation Digital Computer

9.5 Automatic Gain Control

9.6 Notes and References

9.7 Exercises

10 System Design

10.1 Advanced Discrete-Time Architectures

10.2 Channelization

10.3 Notes and References

10.4 Exercises

Appendix A Pulse Shapes

A.1 Full-Response Pulse Shapes

A.2 Partial-Response Pulse Shapes

A.3 Notes and References

A.4 Exercises

Appendix B The Complex-Valued Representation of QAM

B.1 Introduction

B.2 Modulators and the Complex-Valued Representation

B.2 Demodulators/Detectors and the Complex-Valued Representation

B.4 Notes and References

B.5 Exercises

Appendix C Phase Locked Loops

C.1 The Continuous-Time PLL

C.2 Discrete-Time Phase Locked Loops

C.3 Notes and References

C.4 Exercises

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