Lecture
Code: CRS-COM
This two-day combined theory and practice course provides an introduction to digital communications. It starts with an overview of digital communications systems and continues with coding issues, description of communication channels, modulation and optimal receiver principles, channel coding and synchronization, equalization issues, bandlimited and fading channels, and receiver design.
The course is designed for engineers and managers who need to understand the fundamentals of digital communications. The course should be of particular interest to engineers who need to prepare for projects that involve analysis and implementation of digital communications algorithms.
Introduction, digital versus analog, overview of digital communication systems. Introduction to probability theory, random variables, distribution functions, Expectation, Bayes' rule, Stochastic processes, autocorrelation, stationarity, ergodicity, spectral density. Source coding, sampling, quantization, companding, PCM, delta modulation. Communication channels, noise, bandwidth, memoryless channels, AWGN channels. Modulation, optimal receiver principles, signal design, signal space, probability of error. Maximum-likelihood receivers, Orthogonal, simplex and other signals, PSK, FSK, ASK, QAM, CPM. Channel coding: Block coding, Convolutional coding, the Viterbi algorirthm, Trellis-coded modulation. Synchronization: Symbol (bit) synchronization, Frame synchronization, Carrier synchronization, Signaling through bandlimited channels, Intersymbol interference, Spectral shaping, equalization, Partial response signaling, Signaling through fading channels: Receiver design, Error probability, Diversity.
You will Learn about
Day 1 |
Day 2 |
Introduction, Probability, Sampling |
Channel Coding |
Quantization and compression |
Equalization and Synchronization |
Lunch |
Lunch |
Optimum receiver principles |
Spread Spectrum Systems and Fading |
Modulation methods |
CDMA, TDMA StandardsEmerging 3G |
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