Course Information

Digital Signal Processing, TSRT78, HT2, 2011

Teaching Assistants

Name	E-mail	Phone
Grupp_A	Fredrik Lindsten	lindsten_at_isy.liu.se	284043
Grupp_B	Saikat Saha	saha_at_isy.liu.se	284043

Course assistant: Fredrik Lindsten, lindsten_at_isy.liu.se, 284043.

Plan for the Exercises

The exercise sessions are intended to handle the students questions concerning the exercises. Below you will find suggestions for appropriate exercises to work with. More than half of the exercises will take place in front of a computer and these computer classes are marked with a C. The exercises handled during these classes are meant to be solved using a computer. The files that are necessary for the exercises are available as soon as the course has been activated using the course tool (type initcourse TSRT78 in MATLAB in order to activate the course). If you want to solve the exercises at home, the information is also available here.

The table below refers to the 2010 English version of the exercise book. References to the old Swedish version is available further down on this page.

Nr.	Contents	Exercises	Extra problems
1	DFT/TDFT, Spectrum	2.1bc, 2.3a, 2.12, 2.22a	2.7, 2.15, 2.20a, 3.6
2C	DFT/TDFT, Spectrum	2.3bc, 2.5, 2.10, 2.22b	2.4, 2.6, 2.8, 2.20b
3C	Spectrum, filter	2.25, 3.2, 4.16, 4.18	3.1, 4.19, 4.21, 4.22
4	Signal models and model estimation	5.3, 5.12, 6.13, 6.16a	5.9, 5.11, 6.11, 6.15
5C	Signal models and model estimation	6.5, 6.16b, 6.18	6.4, 6.6, 6.17, 6.8
6	Wiener filter	7.2, 7.7	7.5, 7.6
7	Wiener filter and Kalman filter	8.1, 8.6, 8.11	8.2, 8.9, 8.13
8C	Wiener filter and Kalman filter	7.8, 8.15	7.9, 8.4
9C	Kalman filter	8.3, 8.17	8.16, 8.18
10C	Adaptive filtering	9.4, 9.6, 9.7	9.8, 9.9
11C	Adaptive filtering	9.12a, 9.13, 9.10	9.2
12	Sum up	An old exam is handed out	-

Same table as above, but assignment numbers valid for the old Swedish version of the exercise book.

Nr.	Contents	Exercises	Extra problems
1	DFT/TDFT, Spectrum	2.1bc, 2.3a, 3.3, 3.13a	2.7, 3.6, 3.11a, 3.25
2C	DFT/TDFT, Spectrum	2.3bc, 2.5, 3.1, 3.13b	2.4, 2.6, 2.8, 3.11b
3C	Spectrum, filter	3.16, 3.19, 4.16, 4.18	3.18, 4.19, 4.21, 4.22
4	Signal models and model estimation	5.3, 5.12, 6.13, 6.16a	5.9, 5.11, 6.11, 6.15
5C	Signal models and model estimation	6.5, 6.16b, 6.18	6.4, 6.6, 6.17, 6.8
6	Wiener filter	7.2, 7.7	7.5, 7.6
7	Wiener filter and Kalman filter	8.1, 8.6, 8.11	8.2, 8.9, 8.13
8C	Wiener filter and Kalman filter	7.8, 8.15	7.9, 8.4
9C	Kalman filter	8.3, 8.17	8.16, 8.18
10C	Adaptive filtering	9.4, 9.7	9.8, 9.9
11C	Adaptive filtering	9.12a, 9.13, 9.10	9.2
12	Sum up	An old exam is handed out	-