Topical Outline
ECE4601: Communication Systems
School of Electrical and Computer Engineering
Georgia Institute of Technology
Spring 2008
Topical Outline
- Introduction
- Review of Probability and Random Processes
- Basics of Probability A1.1, A1.2
- Statistical Averages A1.3
- Some Useful Distributions A1.3
- Random Processes 1.1-1.3
- Statistical Characterization of Random Processes 1.1-1.3, 1.5
- Random Processes Through Linear Systems 1.6
- Power Spectral Density 1.7
- Gaussian Random Processes 1.8
- Noise and Its Representation 1.9
- Baseband Pulse Transmission [Ch. 4]
- Matched Filters 4.2
- Probability of Error due to Noise 4.3
- Intersymbol Interference 4.4
- Nyquist Pulse Shaping 4.5
- Partial Response Signaling 4.6
- M-ary PAM Transmission 4.7
- Linear Equalizers 4.8, 4.9
- Adaptive Equalizers 4.10
- Digital Bandpass Transmission [Ch. 5,8]
- Representations of Bandpass Signals and Systems 5.1
- Signal-space representations 5.2, 5.3
- Detection of Known Signals in AWGN 5.4, 5.5
- Correlation and Matched Filter Receivers 5.6,
- Error Probability for Binary Signals 5.7
- M-ary Modulation Techniques 6.1-6.5, 6.10
- Detection of Signals with Unknown Phase 6.6-6.8
- Differential Detection 6.9
- Spread Spectrum Modulation [Ch. 7]
- Pseudo-noise Sequences 7.1
- Direct-Sequence Spread Spectrum 7.3-7.6
- Frequency-Hopped Spread Spectrum 7.7
- Information Theory - as time allows [Ch. 9]
- Uncertainty, Information, Entropy 9.2
- Source coding Theorem 9.3
- Data Compaction 9.4
- Discrete Memoryless Channel 9.5
- Mutual Information 9.6
- Channel Capacity 9.7, 9.8
- Error Control Coding - as time allows [Ch. 10]
- Linear Block Codes 10.1-10.4
- Convolutional Codes 10.5
- The Viterbi Algorithm 10.6