SGN-90006 Signal Processing Doctoral Seminar, 2-8 cr

Implementation SGN-90006 2016-01

Description

Sparse Representations and Compressive Sensing for Imaging and Vision The focus of the course is to study novel directions in computational imaging, namely, sparse representations and compressive sensing. Special emphasis is placed on novel, innovative, and unusual imaging systems, such as the one-pixel camera, coded-aperture imaging, thin cameras, flutter shutter, compressive terahertz imaging, first-photon imaging (a comprehensive and up-to-date list is found at https://sites.google.com/site/igorcarron2/compressedsensinghardware). Each student has to present a selected topic from the course material, and chair a discussion session. The course loosely follows the book "Sparse Representations and Compressive Sensing for Imaging and Vision", V.Patel, R.Chellappa, Springer 2013, and complements it with recent research articles.

Lessons

Period 1 - 2
Methods of instruction Luento
Person responsible Alessandro Foi

Assessment scale

Evaluation scale passed/failed will be used on the course

Requirements

Active participation (please agree with the instructor beforehand if you cannot attend the seminar sessions), giving at least one presentation, chairing the session at least one time, summaries, and learning diaries. Optionally project work.

Additional information of course implementation

Before each meeting, all participating students will read the new study material (e.g., an article or a chapter of the book), prepare a short summary about it (approximately 250 - 500 words) and send the summary to the instructor before the meeting by email (no attachment please; just plain text). The students will also prepare at least one question/comment and send that to the instructor prior to the meeting by email (for example, was there something that you did not understand, or would you like to share some idea related to the material). Each meeting is divided into two sessions. First, a designated speaker will give an introductory presentation to the chapter (30-40 minutes). Then, we will discuss about the questions/comments. A chair-person will be named for each meeting to lead the discussion. After the meeting students are expected to prepare a learning diary and send that by email to the instructor (before the next meeting please).

SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 30.08.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 06.09.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 13.09.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 20.09.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 04.10.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 11.10.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 25.10.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 01.11.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 08.11.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 15.11.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 22.11.2016 14:00 - 16:00
SGN-90006 Signal Processing Doctoral Seminar/Lec/01 Tue 29.11.2016 14:00 - 16:00

Study material

Type Name Author ISBN Additional information Language Examination material
Book Sparse Representations and Compressive Sensing for Imaging and Vision V.Patel, R.Chellappa English No