Analysis and design of communication systems with an emphasis on digital communications based on time and frequency domain analysis. Fourier transform techniques, linear systems, and filtering are reviewed. Power and energy spectral density of communication signals. Sampling and quantization of analog signals. Baseband and binary bandpass digital modulation including line coding, pulse shaping, and both pulse and carrier modulation techniques. Wireless communication system concepts including link budgets and multiple access. Transmitter and receiver design concepts. Signal-to-noise ratio, bit error rate, and their relationship. Analog techniques such as Amplitude Modulation (AM) and Frequency Modulation (FM) radio will be reviewed for conceptual and comparative purposes.
Electronic Communication is a major and growing discipline and impacts every major area of electrical engineering. This course provides the basic concepts for analyzing communication systems including an introduction to spectral analysis, modulation, signal-to-noise ratio (SNR), and bit error rate. These concepts are utilized throughout electrical engineering. Modifications to the course syllabus focus on digital communication, reflecting the fact that virtually all modern communication systems are digital.
Percentage of Course
|1. Signals: Fourier Series and Fourier Transform||10%|
|2. Systems: Linear Systems and Filtering, Energy and Power Spectral Density, Bandwidth||10%|
|3. Sampling and Pulse Coded Modulation: Sampling Theorem, Quantization||15%|
|4. Probability, Noise, Signal-to-Noise Ratio, Bit Error Rate||10%|
|5. Baseband Digital Communications: Line Coding, Pulse Shaping||20%|
|6. Binary Bandpass Digital Communications||20%|
|7. Relationship between Analog and Digital Modulation||10%|
|8. Wireless Communications Concepts: Link Budgets and Multiple Access||5%|