Lecture Digital Signal Processing

Course of study

  • Bachelor or master
     

Lecturer

Organization

Required lectures

  • None
     

Required special knowledge

  • None
     

Goal of qualification

  • Knowledge of system theory of time-discrete systems
  • Knowledge of time-discrete transforms
  • System structures
     

Contens of the lecture

  • Discrete-time signals and systems
  • Discrete convolution
  • Difference equations
  • Sampling of signals
  • FIR and IIR digital filters
  • Fourier Transform and Discrete Fourier Transform
  • z-Transform
     

Academic achievement

  • Written exam
  • ECTS credits: 4
     

Media 

  • Board
  • Presentation
  • Matlab
  • Homework sheets
     

Literature

  • Proakis, J.G.;Manolakis, D.G.: Digital Signal Processing, Prentice Hall; ISBN-10 0-13-187374-1;
    UB KL Signatures: EIT 622/154, L EIT 112.
  • Script of the German lecture: (PDF)