Vak: Advanced Filter credits: 2

Vakcode
ELVH17AAF
Naam
Advanced Filter
Studiejaar
2020-2021
ECTS credits
2
Taal
Engels
Coördinator
B.D. Williams
Werkvormen
  • Hoorcollege
  • Individueel
  • Opdracht
  • Practicum / Training
Toetsen
  • Advanced Filter - Opdracht

Leeruitkomsten

After this study unit a student can:
  • design a standard digital filter.
  • use the Kalman filter in a data smoothing context, and also in a vehicle navigation context by using Sensor Fusion techniques.

Inhoud

As an extension to DSP techniques you will learn how to design an advanced filter. We willl be handling specifically the KALMAN filter in the study unit, but will also recapitulate on a method on how to design common filters.

Opgenomen in opleiding(en)

School(s)

  • Instituut voor Engineering