Course: Digital Signal Processing credits: 5

Course code
Digital Signal Processing
Study year
ECTS credits
Dutch, with parts in English
J. Zijlstra
Modes of delivery
  • Lecture
  • Practical / Training
  • Tutorial
  • Digital Signal Processing - Written, organised by STAD examinations

Learning outcomes

The student can :  

  • find the real or complex Fourier series representation of a periodic function. 

  • describe the frequency and amplitude characteristics of the different harmonic components of a function. 

  • calculate and apply Discrete Fourier transform. 

  • perform calculations with discrete impulse responses, discrete convolution products and frequency responses. 

  • apply sampling theorem of Shannon, Nyquist frequency and the concept of aliasing. 

  • identify if a system is stable, linear, causal and/or time invariant. 

  • calculate and apply the z-transform and know the relation with the Fourier transform. 

  • conduct stability analysis in the z-plane and in the frequency domain using poles & zeroes and the unit circle. 

  • calculate the transient behaviour of a discrete system. 

  • design and classify different forms of digital filters (FIR, IIR notch and low/high pass filters) with given properties and demonstrate this filter. 

  • calculate the difference equation for filters with given properties. 


This study unit consists of tutorials, practicals and theory lectures.  


  • Institute of Engineering