Electronics and Computer Engineering

Applied Signal Processing

Integrated course, 5.00 ECTS


Course content

  • Sampling and reconstruction of continuous-time signals
  • Characteristics of discrete-time systems
  • Impulse response, difference equation and transfer function
  • Discrete-time filter design
  • Analysis of discrete-time signals in the time and the frequency domain
  • Discrete-time stochastic processes

Theoretical relationships are illustrated in practical laboratory exercises.

Learning outcomes


  • know the most important discrete-time and continuous-time signals and their connection through sampling and reconstruction,
  • are familiar with the main characteristics of discrete-time systems and can derive them from the impulse response, the pole-zero plot or the transfer function,
  • are able to design simple discrete-time filters for correcting continuous-time systems and can analyse sampled continuous-time and discrete-time signals in the time and frequency domain,
  • understand stochastic processes and
  • can describe them using autocorrelation, cross-correlation and their Fourier transforms.

Recommended or required reading and other learning resources / tools


  • Oppenheim, Schafer: Discrete-Time Signal Processing
  • Girod, Rabenstein, Stenger: Einführung in die Systemtheorie: Signale und Systeme in der Elektrotechnik und Informationstechnik
  • Richard G. Lyons: Understanding Digital Signal Processing


Mode of delivery

Integrated course, exercises 50%

Prerequisites and co-requisites

  • Fundamentals of Science 2
  • Applied Electrical Engineering 2
  • Analog Signal Processing
  • Applied Computer Science 2
  • Embedded Systems
  • Communication Technology

Assessment methods and criteria

Continuous assessment