Course: Advanced Filter credits: 2

Course code
ELVH17AAF
Name
Advanced Filter
Study year
2022-2023
ECTS credits
2
Language
English
Coordinator
B.D. Williams
Modes of delivery
  • Assignment
  • Individual supervision
  • Lecture
  • Practical / Training
Assessments
  • Advanced Filter - Assignment

Learning outcomes

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.

Content

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.

Included in programme(s)

School(s)

  • Institute of Engineering
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