SGN-16006 Bachelor's Laboratory Course in Signal Processing
Moodle webpage: Laboratory exercise instructions and other course
material is moved to course Moodle page.
Exercise reports must be returned to Moodle. This webpage will still include
updated information about the course in general and exercise deadlines.
Improve your writing skills: The lab course can be studied
together with the English course KIE-34106
Academic Writing in English (group 9 primarily for the lab course
students, registration in POP). At the English course you can work on the laboratory course reports. Note: SGN-16006 can also be studied separately from KIE-34106.
Lectures (2 x 2h) are in January:
- Wed 14.1.2015, 10-12, S2, course introduction
- Wed 21.1.2015, 10-12, TB111, introduction to academic writing (Lauri Tolkki)
At the first lecture, the course organization and the laboratory exercises are briefly introduced. The second lecture gives an introduction to academic writing. The lectures give a good opportunity to find a pair if you don't already have one.
The person responsible for the general matters of the course is
Kaisa Liimatainen (kaisa.liimatainen <at> tut.fi), room TF317.
The aim of the course is to familiarize the students to signal processing methods
in practice and to develop the students' problem solving capability in tasks
resembling those that can be encountered in real life.
Contents and passing the course
Doing four laboratory exercises is required to pass this course.
The exercises are preferably to be done in groups of two but also groups of one person are accepted.
Course SGN-16006 replaces courses Signal processing and multimedia laboratory, SGN-1606 Signaalinkäsittelyn ja multimedian työkurssi, and 8006053 Signaali- ja systeemitekniikan laboratoriokurssi.
There are six laboratory exercises, three in each period. Select two
exercises in both periods.
- Laboratory 1: Signal processor assignment (to be published on week 5).
- Laboratory 2: Image
Instructor Juha Pajula.
- Laboratory 3: Statistical pattern classification.
The data is here. Instructor Heikki Huttunen. List of accepted assignments.
- Laboratory 4: Audio signal processing: Computational auditory scene
recognition (to be announced in the beginning of 4th period).
- Laboratory 5: Autofocus (to be announced in the beginning of 4th period).
- Laboratory 6 (to be announced in the beginning of 4th period).
It is recommended that the pattern classification exercise is done after taking the course Introduction to Pattern Recognition.
Academic writing lecture slides:
Report templates: LaTeX, .doc.
Reports can be written in English or Finnish.
The course is passed when four laboratory exercises have beed returned and accepted.
last updated 13.1.2015