Review of signal theory, Fourier transforms, linear and time-invariant systems; review of probability and random signals; information theory, source entropy, channel capacity; basedband data transmission, modulation, noise in analog systems and digital carrier modulation.
This course presents analytic concepts in communication systems analysis and design. It is designed for an undergraduate senior or beginning graduate student in electrical engineering. Students should have a mathematical maturity typical of undergraduate curricula in science and engineering, including calculus and circuit analysis.
The teaching approach in this course emphasizes modelling, analysis and design principles used in modern communication technology, including wire, radio and satellite systems. Important areas include, theory, analysis and practical implementation of analog and digital modulation, filtering and detection principles.
Prerequisites: ELEG306 or permission of instructor
Exams: midterm (25%), final (60%) and homework (15%); closed book; no notes
|Text: An Introduction to Analog and Digital Communications, S. Haykin, Wiley, 1989, ISBN 0-471-85978-8.||Useful: The ARRL Handbook 2004. American Radio Relay League, 2003, ISBN 0-87259-198-4.|
- Fourier Analysis
- Filtering and Signal Distrotion
- Spectral Densisty and Correlation
- Digital Coding of Analog Waveforms
- Intersymbol Interference and its Cures
- Modulation Techniques
- Probability Theory and Random Processes
- Noise in Analog Modulation
- Optimum Receivers for Data Communication