University Course Planner The University of Adelaide Australia

ELEC ENG 7002 - Kalman Filtering & Applications

Career: Postgraduate Coursework
Units: 3
Term: Semester 1
Campus: North Terrace
Contact: Up to 42 hours
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: Yes
Assumed Knowledge: Linear algebra (matrices), probability theory, linear systems & MATLAB
Assessment: Details provided at start of Semester
Syllabus:

The Kalman Filter: Stochastic state-variable systems; Optimality criteria for the estimation of state variables; The maximum-likelihood solution for independent Gaussian noise processes; The innovations sequence; The least-squares Kalman filter; Systems with correlated noise processes; Stochastic systems with time-invariant coefficients; The square-root algorithm; The extended Kalman filter, Adaptive system identification.

Course Fees

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

Study Abroad student tuition fees are available here

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information

Units
EFTSL
Amount
3
0.125
          
  


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Semester 1 Tue 15/03/2022 Thu 24/03/2022 Fri 06/05/2022 Fri 10/06/2022


Class Details

Enrolment Class: Workshop
Class Nbr Section Size Available Dates Days Time Location
12421 WR01 30 22 28 Feb - 4 Apr Monday 2pm - 4pm Badger, G31, Macbeth Lecture Theatre
25 Apr - 30 May Monday 2pm - 4pm Badger, G31, Macbeth Lecture Theatre
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.
Related Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
10384 TU01 30 22 4 Mar - 8 Apr Friday 2pm - 3pm Engineering & Mathematics, EM218, Teaching Room
29 Apr - 3 Jun Friday 2pm - 3pm Engineering & Mathematics, EM218, Teaching Room
Note: This class will be delivered both online and face to face. Please refer to MyUni for details once enrolled.