EE4360 Digital Communications

Topics covered in textbook:

J.G. Proakis and M. Salehi
Communication Systems Engineering
Second Edition
Prentice Hall

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Midterm Exam 1
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1. Introduction

2. Frequency Domain Analysis of Signals and Systems
 2.1 Fourier Series
 2.2 Fourier Transform
 2.3 Power and Energy
 2.4 Sampling of Bandlimited Signals

4. Random Processes
 4.1 Probability and Random Variables
 4.2 Random Processes: Basic Concepts
 4.3 Random Processes in the Frequency Domain
 4.4 Gaussian and White Processes

6. Information Sources and Source Coding
 6.1 Modeling of Information Sources
  6.1.1 Measure of Information
 6.2 Source-Coding Theorem
 6.5 Quantization
  6.5.1 Scalar Quantization
  6.5.2 Vector Quantization
 6.6 Waveform Coding
  6.6.1 Pulse-Code Modulation (PCM)
  6.6.3 Delta Modulation
 
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Midterm Exam 2
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7 Digital Transmission Through the Additive White Gaussian Noise Channel
 7.1 Geometric Representation of Signal Waveforms
 7.2 Pulse Amplitude Modulation
 7.3 Two-Dimensional Signal Waveforms
  7.3.2 Two-Dimensional Bandpass Signals - Carrier-Phase Modulation
  7.3.3 Two-Dimensional Bandpass Signals - Quadrature Amplitude Modulation
 7.4 Multidimensional Signal Waveforms
  7.4.1 Orthogonal Signal Waveforms
  7.4.2 Biorthogonal Signal Waveforms
  7.4.3 Simplex Signal Waveforms
  7.4.4 Binary-Coded Signal Waveforms
 7.5 Optimum Receiver for Digitally Modulated Signals in AWGN
  7.5.1 Correlation-Type Demodulator
  7.5.2 Matched-Filter-Type Demodulator
  7.5.3 The Optimum Detector
  7.5.4 Demodulation and Detection of Carrier-Amplitude Modulated Signals
  7.5.5 Demodulation and Detection of Carrier-Phase Modulated Signals
  7.5.7 Demodulation and Detection of Frequency Modulated Signals
 7.6 Probability of Error for Signal Detection in AWGN
  7.6.1 Probability of Error for Binary Modulation
  7.6.2 Probability of Error for M-ary PAM


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Final Exam
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 7.6.10 Comparison of Modulation Methods

8 Digital Transmission Through Bandlimited AWGN Channels
 8.1 Digital Transmission Through Bandlimited Channels
  8.1.1 Digital PAM Transmission through Bandlimited Baseband Channels
  8.1.2 Digital Transmission through Bandlimited Bandpass Channels
 8.3 Signal Design for Bandlimited Channels
  8.3.1 Design of Bandlimited Signals for Zero ISI-The Nyquist Criterion

9 Channel Capacity and Coding
 9.1 Modeling of Communication Channels
 9.2 Channel Capacity
  9.2.1 Gaussian Channel Capacity
 9.3 Bounds on Communication

6 Information Sources and Source Coding
  6.1.2 Joint and Conditional Entropy
  6.4.1 Mutual Information