Digital communication

• Explain the fundamental problems of transmission of information
• Use MATLAB for modeling of the signal processing in digital communication
• Calculate correlation functions and spectra for deterministic and stochastic signals
• Create and analyze Markov models for sources and line codes
• Calculate spectra for PAM signals and pulse shapes to avoid ISI or control ISI
• Analyze and optimize quantization strategies
• Optimize linear estimation
• Design optimal receivers for PAM signals and calculate corresponding error probabilities
• Optimize linear equalization techniques
• Analyze the transmission through metallic lines and radio channels
• Analyze digital quadrature modulation and calculate error probabilities for such
• Analyze symbol synchronization algorithms

Introduction to basic problems of digital communication. Deterministic signals. Application of stochastic processes in the description of signals and noise. Sampling and quantization of continuous stochastic signals. Examples of user signals, eg. sound and images. Linear estimation and prediction. Baseband transmission of digital signals: optimal receivers, signal design, and line codes. Models for physical transmission channels: radio channels, optical channels and storage media, as AWGN and MIMO channels. Modulation techniques: amplitude modulation, quadrature modulation, digital phase modulation, and OFDM. Simple protocols for information exchange.

01035/02451/31605/31606/02405

Lectures, problem work and simulation exercises under supervision (with use of MATLAB). Mandatory assignments