Course Weekly Lecture Plan

Week	Topic
1	Introduction Elements of a Digital Communication System Communication Channels and Their Characteristics Mathematical Models for Communications A Historical Perspective in the Development of Digital Communications
2	Deterministic and Random Signal Analysis Bandpass and Lowpass Signal Representations Signal Space Representations of Waveforms Random Processes (Cyclostationary Process will be covered in Week 3) Series Expansion of Random Processes Bandpass and Lowpass Random Processes
3	Digital Modulation Schemes Representation of Digitally Modulated Signals Memoryless Modulation Methods Signaling Schemes with Memory Power Spectrum of Digitally Modulated Signals
4	Optimum Receivers for AWGN Channels Waveform and Vector Channel Models Waveform and Vector AWGN Channels Optimal Detection and Error Probability for Band-Limited Signaling Optimal Detection and Error Probability for Power-Limited Signaling Optimal Detection in Presence of Uncertainty A Comparison of Digital Signaling Methods Detection of Signaling Schemes with Memory: Maximum Likelihood Sequence Detector
5	An Introduction to Information Theory Channel Models and Channel Capacity Achieving Channel Capacity with Orthogonal Signals (These two sections will be covered into Week 4)
6	Fading Channels I: Characterization and Signaling Characterization of Fading Multipath Channels The Effect of Signal Characteristics on the Choice of a Channel Model Frequency-Nonselective, Slowly Fading Channel Diversity Techniques for Fading Multipath Channels The RAKE Demodulator
7	Midterm Exam #1 Closed Books: Most of the problems will be from Chapters 1, 2, 3, 4, 6 and 13
8	Spread Spectrum Signals for Digital Communications Model of Spread Spectrum Digital Communication System Direct Sequence Spread Spectrum Signals
9	Midterm Break
10	Digital Communication Through Band-Limited Channels Characterization of Band-Limited Channels Signal Design for Band-Limited Channels Optimum Receiver for Channels with ISI and AWGN (partially covered) Linear Equalization (partially covered)
11	Linear Block Codes Block Codes, and Polynomial Codes/Cyclic Codes, Convolutional Codes, and Viterbi Decoding
12	Midterm Exam #2 Closed Books: Most of the problems will be from Chapters 6, 7, 9, 11,12, and 13.
13	Trellis and Graph Based Codes Trellis coded modulation Analytical interpretation of trellis codes
14	Multiple Antenna Systems Advanced topics in Digital Communications
15	Project Presentations
16	Final Exam

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