SGN 21006 Advanced Signal Processing (5 cr)
Lectures
Time and place:
Mondays 10:15-12:00 and
Thursdays 10:15-12:00
Lecture room
SA205
Lectures on
22.10, 25.10, 29.10, 1.11, 5.11, 12.11, 15.11, 19.11, 22.11, 26.11, 29.11, 3.12
Ioan Tabus
Office:
Room TF 419, Phone +358408490783, E-mail: ioan.tabus@tut.fi
First Lecture: 22.10.2018 in SA205
Exercises
1.
Group 1: Tuesday 14:00-16:00 TC
303 First exercise 23.10.2018
2.
Group 2: Fridays 10:00-12:00 TC
303 First exercise 26.10.2018
Pekka Astola
Contents:
1. Deterministic and random signals
2. Optimal filter design
3. Adaptive filter design
4. Application areas of Optimal filter design and
Adaptive filter design
5. Spectrum estimation
6. Nonlinear filters
Requirements:
Project and
final exam.
Lectures and
link to Lectures’
Blog (Summary and Matlab
codes)
1.Organization and preview of the course 22.10.2018
2.Random signals 25.10.2018
3. Optimal Wiener Filters 29.10.2018
4. Gradient based adaptive filtering 1.11.2018,5.11.2018
5. Least mean squares (LMS) algorithm
and variants 12.11.2018
6. Linear prediction 15.11.2018 (will be presented together with
Lecture 8)
7. Least Squares and Recursive Least
Squares (RLS) adaptive filters 15.11.2018,19.11.2018
8. Parameter estimation for AR and
MA models. Model order selection 22.11.2018
9. Spectrum estimation
26.11.2018
10. Spectrum estimation methods,
line spectrum estimation and Direction of arrival 29.11.2018
11. Additional file for the bonus task
in project 3.12.2018
12. Review lecture 3.12.2018