Kies de Nederlandse taal
Course module: 202001155
Digital Signal Processing
Course info
Course module202001155
Credits (ECTS)5
Course typeStudy Unit
Language of instructionEnglish
Contact persondr. C.G. Zeinstra
Contactperson for the course
dr. C.G. Zeinstra
dr. C.G. Zeinstra
Academic year2022
Starting block
RemarksPart of module 8 EE
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
  • Student can reason about sampling and reconstruction.
  • Student can reason about properties of discrete signals and systems, like linearity, time invariance, causality and stability.
  • Student can reason about non uniqueness of discrete frequencies and aliasing and how it can be avoided.
  • Student can solve linear difference equations using a general technique involving convolution and a concise more limited technique, using the transfer function of a discrete system.
  • Student understands the frequency perspective given by the Discrete Time Fourier Transform and its properties.
  • Student understands the frequency perspective given by the Discrete Fourier Transform and its properties.
  • Student understands and can use the Fast Fourier Transform and its properties. Student understands and can use the z transform and its properties, in particular for stability and to solve linear difference equations.
  • Student can design an IIR filter using the bilinear transform.
  • Student can design an FIR filter using the window method.
  • Student knows the importance of linear phase filters and effect of windowing in the frequency domain.
  • Students can down- and upsample a signal.
  • Student can investigate the spectral content (for example the SNR) from finite measurements.
  • Student is introduced to a selection of 2D DSP topics representing classical and modern approaches. This topic is optional and is excluded from the exam.
This course presents a wide range of introductory topics in the field of digital signal processing, both theoretical and practical. 

Tests consist of one written DSP test and pass/fail labwork. There is one written DSP resit and a single opportunity to repair failed DSP labwork. If the labwork has been passed final grade = DSP Grade, otherwise 1. 

Assumed previous knowledge
Calculus, Continuous Linear Systems is very beneficial
Module 8
Participating study
Bachelor Electrical Engineering
Required materials
Slides and exercises
B.P. Lahti, Signal Processing and Linear Systems, Oxford University Press, ISBN 978-0-19-539257-9 (Note: this is the same book as used in Continuous Linear Systems)
Recommended materials
Course material
Lecture notes
Instructional modes


Digital Signal Processing

See content for more details on the grading scheme of this course.

Kies de Nederlandse taal