For one/two-semester, senior/graduate-level First Communications courses in
Communication Systems and Digital Communication in the department of electrical
engineering for electrical engineering students.
Using three parallel approaches—rigorous mathematical, graphical, and
intuitive—this text offers students a practical and deep understanding of
communication systems. Emphasis on the theme of cost vs. performance tradeoffs
throughout the book provides a framework and motivation for all the topics
examined in it. Fundamentals of frequency domain analysis are reinforced through
graphical techniques and communications-oriented examples.
Table of Contents：
Components of a Communication System. An
Overview of Tradeoffs in Communication System Design.
Why? The Fourier Series. Representing Power in
the Frequency Domain. The Fourier Transform. Normalized Energy Spectral Density.
Properties of the Fourier Transform. Using the Unit Impulse Function to
Represent Discrete Frequency Components as Densities.
Baseband Modulation Techniques.
Goals in Communication System Design. Baseband
Modulation Using Rectangular Pulses and Binary PAM. Pulse Shaping to Improve
Spectral Efficiency. Building a Baseband Transmitter.
4. Baseband Receiver Design (and
Stochastic Mathematics, Part I).
Calculating the Probability of Bit Error for a
Simple PAM Receiver (Includes Discussion of Probability and Random Variables).
Building the Optimal Receiver (The Matched Filter or Correlation Receiver).
Synchronization. Equalization. Multi-Level (M-ary) Pulse Amplitude
5. Digital Bandpass Modulation and Demodulation Techniques
(and Stochastic Mathematics, Part II).
Binary Amplitude Shift Keying (Binary ASK).
Other Binary Bandpass Modulation Techniques (Binary PSK and FSK). Coherent
Demodulation of Bandpass Signals. Stochastic Mathematics - Part II (Random
Processes). Noncoherent Receivers for ASK and FSK. Differential (Nncoherent)
PSK. A Comparison of Binary Bandpass Systems. M-ary Bandpass
6. Analog Bandpass Modulation and Demodulation
Transmitting an Amplitude Modulated (AM) Signal.
Coherent Demodulation of AM Signals. Noncoherent Demodulation of AM Signals.
Single Sideband and Vestigial Sideband AM Systems. Frequency and Phase
Modulation. Generating and Demodulating FM and PM Signals. A Comparison of
Analog Modulation Techniques.
7. Multiplexing Techniques.
Time Division Multiplexing. Frequency Division
Multiplexing. Code Division Multiplexing.
8. Analog-to-Digital and
Sampling and Quantizing. Differential Pulse
Coded Modulation (DPCM). Delta Modulation (DM) and Continuously Variable Slope
Delta Modulation (CVSD).
9. Basics of Information Theory, Data
Compression, and Image Compression.
Information Content, Entropy, and Information
Rate of Independent Sources. Variable Length Self-Punctuating Codes for Data
Compression (Includes Huffman Coding). Sources with Dependent Messages (Includes
LZW Encoding). Still Image Compression. Moving Image Compression.
Basics of Error Control Coding.
Channel Capacity. Algebra Field Theory and
Modulo-2 Operators. Hamming Codes. A Geometric Interpretation of Error Control
Coding. Cyclic Codes. Hybrid FEC/ARQ Codes. Correcting Burst Errors.
Convolutional Codes and Viterbi