Digital signal processing

Short Name
Dig. Signalverarb.
Module Code
Module Coordinator
  • Prof. Dr. Klaus Rinn
  • Prof. Dr. Berthold Franzen
  • Prof. Dr. Klaus Rinn
Short Description
Introduction to the foundations of analog and digital signals, both one- and two-dimensional.
Learning Objectives

The students know the most important procedures of digital signal processing and their theoretical foundations. with respect to the aim of an application, as e.g. signal improvement or signal compression, they are able to evaluate thes procedures ant recognize alternatives. They are able to apply these procedures both to time dependent signals and to images.

  • Analog and digital signals, digitization of signals,
  • sampling theorem
  • discrete time signals, linear time-invariant systems, z-transformation
  • stochastic signals
  • correlation methods
  • discrete fourier transformation, sampling and windowing
  • digital filters, IIR and FIR filter, determining coefficients
Duration in Semester
Instruction Language
Total Effort
6.0 CrP; an estimated 180 hours, of which approximately 60 are spent in class.
Weekly School Hours
Method of Instruction
Lecture 3 sppw Practical Course 1 sppw
Requirements for the awarding of Credit Points

Examination prerequisite: Lab exercises

Examination: Written exam

Evaluation Standard
according to examination regulations (§ 9)
  • D.Ch. von Grünigen, D.Ch.: Digitale Signalverarbeitung Fachbuchverlag Leipzig
  • Oppenheim, Schafer, Buck: Zeitdiskrete Signalverarbeitung Pearson Studium
  • M. Werner: Digitale Signalverarbeitung mit MATLAB-Praktikum Vieweg+Teubner