Data Communications Principles [Paperback]

This unique text, for both the first year graduate student and the newcomer to the field, provides in-depth coverage of the basic principles of data communications and covers material which is not treated in other texts, including phase and timing recovery and echo cancellation. Throughout the book, exercises and applications illustrate the material while up-to-date references round out the work.1. Introduction to Data Communications.- 1.0 A Perspective.- 1.1 Who Uses Data Communication?.- 1.2 Data Network Protocols.- 1.3 Data Network Architectures.- 1.4 Data Communication at Voiceband Rates.- 1.5 Carrier Systems.- 1.6 Channel Characterizations.- 1.7 Signal Processing for Data Communications.- 1.8 Organization of This Book.- References.- 2. Theoretical Foundations of Digital Communications.- 2.0 Introduction.- 2.1 Introduction to Decision Theory.- 2.2 The Additive White Gaussian Noise (AWGN) Channel.- 2.3 The Binary Symmetric Channel.- 2.4 Elements of Estimation Theory.- 2.5 Fundamentals of Information Theory.- 2.6 Channel Capacity.- 2.7 Calculations of Channel Capacity for Selected Channels.- Appendix 2A: Basic Concepts of Probability Theory.- Appendix 2B: Detection of Signals in Colored Noise.- References.- Exercises.- 3. Error Correcting and Detecting Codes.- 3.0 Introduction.- 3.1 Block Codes.- 3.2 Cyclic Block Codes.- 3.3 Performance.- 3.4 Convolutional Codes.- 3.5 Decoding Convolutional CodesThe Viterbi Algorithm.- 3.6 Performance of Convolutional Codes.- 3.7 Sequential Decoding Convolutional Codes.- 3.8 Block and Convolutional Codes Concatenated.- 3.9 Automatic Repeat-Request Systems.- References.- Exercises.- 4. Baseband Pulse Transmission.- 4.0 Introduction.- 4.1 Direct-Baseband Transmission.- 4.2 Pulse Amplitude Modulation (PAM) in a Distorted, Noisy, Bandlimited Channel.- 4.3 The Nyquist Criterion.- 4.4 Performance of Multilevel PAM with Raised Cosine Pulse Shaping.- 4.5 General Encoding Model.- 4.6 Correlative Level Encoding (Partial Response).- 4lƒ²