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Digital communications

Published: 3 January 2022

This course will give you an introduction to information and channel capacity as well as the theory and applications of a number of basic concepts in digital communication

About the course:

In addition to an introduction to information and channel capacity, the course deals with the theory and applications of a number of basic concepts in digital communication, such as:

  • vector representation
  • digital modulation (PSK, QAM)
  • pulse shapes
  • noise
  • the matched filter
  • Nyquist signaling
  • intersymbol interference
  • detection
  • optimal receivers
  • maximum likelihood detection
  • performance measures
  • dispersive channels
  • bit error content
  • OFDM

Mandatory computer exercises in Matlab are included in the course

At the end of the course you will be able to:

  • Describe, explain linear modulation
  • Describe, explain, calculate the spectrum and bandwidth of communication signals
  • Describe, explain, calculate baseband representation of signals with passband character
  • Describe, explain, calculate signal constellations, its energy, and distance properties
  • Describe, explain, calculate Nyquist pulses for communication and its properties
  • Describe, explain, calculate how signals can be represented as vectors
  • Describe, explain, calculate the matched filter
  • Describe, explain, calculate the additive Gaussian noise and its effect
  • Describe, explain, calculate hypothesis tests and detection
  • Describe, explain, calculate the Map and ML detector
  • Describe, explain, calculate the Q function
  • Describe, explain, calculate the error probabilities of detectors
  • Describe, explain OFDM
  • Evaluate and simulate simple digital communication systems in MATLAB.
Jaap van de Beek

Jaap van de Beek, Professor, Chaired Professor

Phone: +46 (0)920 493383
Organisation: Signal Processing, Signals and Systems, Department of Computer Science, Electrical and Space Engineering