Course Information

Digital Signal Processing, TSRT78, HT2, 2018

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Course Description

This course describes the most important methods and algorithms for signal processing. There is a strong focus on being able to apply these to signals of various kinds. Topics include: discrete Fourier transform (DFT), signal modelling (both in the frequency and in the time domain), estimating models, spectral estimation, Wiener filtering, Kalman filtering and adaptive filtering. The course will also discuss relevant applications of signal processing, including for example, adaptive noise cancellation and friction and tire pressure estimation in cars.

Course Structure

This course gives 6hp (of which 1hp are labs). The course structure is as follows:

• Lectures: 14 (including invited speakers from the industry)
• Exercises: 12 (both with and without a computer)
• Labs: 2 mandatory labs
• Exam: Exam (4 hours), including both written and computer problems

Further information about the lectures, exercise sessions and labs is available under the links on the left.

• The use of computers is highly integrated in the course and more than half of the exercises take place in ISY's computer labs. More information about the computer labs is available here.
• The computer and Matlab are "allowed aids" during the exam. The exam takes place in ISY's computer labs.
• All students will have personal accounts and in this way have unlimited access to the computer labs also outside the scheduled time. In order to enter the computer labs and Laboteket (where the two labs takes place) you will need your LiU-card.
• Matlab can be downloaded from the student portal or bought at Bokakademin in Kårallen at a very low cost (basically the cost of the disc). This implies that you can work from home.

Lectures

Examiner and lecturer is Isaac Skog,
E-mail: isaac.skog_at_liu.se,

Exercises

Group	Name	E-mail
Group A	Kamiar Radnosrati	kamiar.radnosrati_at_liu.se
Group B	Magnus Malmström	magnus.malmstrom_at_liu.se

Du Ho is course assistant.

Course Matrial

The course material consists of,

• Gustafsson, F., Ljung, L. and Millnert, M. "Signal Processing", 2011. A list of errata in the equations is available. The MATLAB functions for the book are available here. An earlier version of the book is also available in Swedish as, Gustafsson, F., Ljung, L. and Millnert, M. "Signalbehandling", 2006, second edition.
• Gunnarsson, F., Tjärnström, F. and Gustafsson, F. "Signal Processing - Exercises", 2010.
  
• Lab instructions (available here).

The course books are available from for example Bokakademin in Kårallen and Studentlitteratur, Bokus.

Suggested reading

The appendices that finish each chapter will not be tested during the exam. However, appendix A, B and C at the end of the book are part of the course. Central parts of the course are Chapters 2.2-2.7, 3.3-3.5, 4.1-4.4, 5.1-5.5, 6.1-6.6, 7.1-7.7, 8, 9.1-9.3, 9.5-9.7 (Chapters 2.2-2.7, 3.1-3.6, 4.1-4.4, 5.1-5.3, 6.1-6.3, 7.1-7.5, 8, 9 in the 2006 Swedish version).

Mailing list

If you registered for the course you are automatically on the list tsrt78-ht2018_at_student.liu.se. Information will be distributed using this list.

More information about e-mail lists:

Student information about mailing lists.

Informationsansvarig: Isaac Skog
Senast uppdaterad: 2018-12-12