Digital communication 1

• 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 simple line codes
• Calculate spectra for PAM signals and pulse shapes to avoid 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 digital quadrature modulation and calculate error probabilities for such

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 simple line codes. Modelling of physical transmission channels: radio channels and optical channels as AWGN. Modulation techniques: amplitude modulation, quadrature modulation, and digital phase modulation.

01035/02451/22051/34210/02405

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