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Course Information

Digital Signal Processing, TSRT78, HT2, 2016


Teaching Assistants

GroupNameE-mailPhone
Group A Kamiar Radnosrati kamiar.radnosrati_at_liu.se286740
Group B Du Ho du.ho.duc_at_liu.se284474
Course assistant: Kamiar Radnosrati, kamiar.radnosrati_at_liu.se, 286740.

Plan for the Lessons

The lessons are intended to handle questions by the students concerning the assigned problems. Below you will find suggestions for appropriate problems to work with. More than half of the lessons will take place in front of a computer and these computer classes are marked with a C. The problems handled during these classes are meant to be solved using a computer. The files that are necessary for the classes are available as soon as the course has been activated using the course tool. If you want to solve the problems 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 are available further down on this page.

Nr. Contents Exercises Extra problems
1 DFT/DTFT, Spectrum 2.1bc, 2.3a, 2.12, 2.22a 2.7, 2.15, 2.20a, 3.6
2C DFT/DTFT, 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, 5.9, 5.11, 5.12 6.11, 6.15
5C Signal models and model estimation 6.5, 6.18, 6.7 6.4, 6.6, 6.13, 6.17
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, zip 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/DTFT, Spectrum 2.1bc, 2.3a, 3.3, 3.13a 2.7, 3.6, 3.11a, 3.25
2C DFT/DTFT, 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, 5.9, 5.11, 5.12 6.11, 6.15
5C Signal models and model estimation 6.5, 6.18, 6.7 6.4, 6.6, 6.13, 6.17
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 -

Informationsansvarig: Fredrik Gustafsson
Senast uppdaterad: 2017-08-25