TUT logoSGN 21006 Advanced Signal Processing (5 cr)


Lectures

Time and place:

Mondays10:15-12:00and 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: Tuesday14:00-16:00 TC 303 First exercise23.10.2018

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 Lecturesí Blog (Summary and Matlab codes)

1.Organization and preview of the course 22.10.2018

Lecture 1.pdf

2.Random signals25.10.2018

Lecture 2.pdf

3. Optimal Wiener Filters 29.10.2018

Lecture 3.pdf

4. Gradient based adaptive filtering 1.11.2018,5.11.2018

Lecture 4.pdf

5. Least mean squares (LMS) algorithm and variants 12.11.2018

Lecture 5.pdf

6. Linear prediction 15.11.2018 (will be presented together with Lecture 8)

Lecture 6.pdf

7. Least Squares and Recursive Least Squares (RLS) adaptive filters 15.11.2018,19.11.2018

Lecture 7.pdf

8. Parameter estimation for AR and MA models. Model order selection 22.11.2018

Lecture 8.pdf

9. Spectrum estimation 26.11.2018

Lecture 9.pdf

10. Spectrum estimation methods, line spectrum estimation and Direction of arrival 29.11.2018

Lecture 10-11.pdf

11. Additional file for the bonus task in project 3.12.2018

Lecture Sparse.pdf

12. Review lecture 3.12.2018

Lecture 12.pdf