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Communication Systems: Analysis and Design
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Using
three parallel teaching approaches—rigorous mathematical, graphical, and
intuitive, this book offers various types of learners 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. KEY TOPICS: Chapter topics
cover digital baseband modulation techniques, baseband receiver design, digital
bandpass modulation and demodulation techniques, multiplexing techniques, analog-to-digital
conversion, basics of information theory and data compression, and basics of error
control coding. For electrical engineers interested in the field of communication
systems and digital communications.
Features
- Multiple teaching approaches—Rather than the purely mathematical
approach used in most texts.
- Accommodates different learning styles and gives students a greater opportunity
to truly understand the material and see its relevance.
- Cost vs. performance tradeoffs theme throughout.
- Allows students to see how each topic relates to communication systems
analysis and design, and enables them to organize their overall understanding
of the general subject.
- A conversational writing style.
- Helps students feel comfortable with the subject.
- Numerous figures, illustrations, and graphics.
- Reinforces students' understanding, and initiates their grasp of concepts
through the graphics before obtaining a deeper understanding by rereading
the text.
- Companion CD included with every text—Contains approximately
70 color versions of figures from the book and approximately 12 PowerPoint
presentations and demonstrations reinforcing important concepts from the book.
- Helps students to better visualize important concepts and can also be
used by instructors as a teaching aid.
Table of Contents
1. Introduction.
Components of a Communication System. An Overview
of Tradeoffs in Communication System Design.
2. Frequency Domain Analysis.
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.
3. Digital 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 Modulation.
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 (Noncoherent) PSK. A Comparison of Binary
Bandpass Systems. M-ary Bandpass Techniques.
6. Analog Bandpass Modulation and Demodulation Techniques.
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 Digital-to-Analog Conversion.
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.
10. 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 Decoding.
References.
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