Digital signal processing

Module Code
Module Coordinators
Klaus Rinn
  • Berthold Franzen
  • 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 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