Digital Signal Processing (TSRT78)

Course Information, 2023HT

Welcome to the course page of TSRT78.

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 modeling (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 submarine tracking. Below is the example of how we use the course knowledge to protect wildlife.

Course Structure

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

Further information about the lectures, exercise sessions, and labs is available on Lisam under course TSRT78.

Lectures

Examiner and lecturer is Kailai Li,
E-mail: kailai.li_at_liu.se.

Exercises

Teaching assistant is Daniel Bossér,
E-mail: daniel.bosser_at_liu.se

Course material

The course material consists of,

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

Mailing list

If you registered for the course you are automatically on the list tsrt78-ht2023_at_student.liu.se. Information may also be announced using this list.