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Course Catalog 2014-2015
SGN-90006 Signal Processing Doctoral Seminar, 2-8 cr |
Additional information
Suitable for postgraduate studies
Person responsible
Ioan Tabus, Ari Visa, Jussi Tohka, Karen Eguiazarian, Ulla Ruotsalainen
Lessons
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Learning Outcomes
- Is familiar with a specialized area of signal processing where there is active research worldwide - Is able to critically evaluate the content of a specialized textbook in signal processing area - Acquires practice skills in preparing a presentation directed to a specialist audience - Acquires practice skills in defending his views when subject to criticism from the audience - Acquires practice skills in asking questions during the presentations of scientific topics
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Seminar topic: compressive sensing |
Instructions for students on how to achieve the learning outcomes
Before each meeting, all participating students will read one chapter of the book, prepare a short summary about it and send the summary to the coordinator before the meeting by email. The students will also prepare at least one question/comment and send that to the coordinator 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 Chapter). During the meeting, we will then discuss about these questions/comments. After the meeting students are expected to prepare a learning diary (see, e.g., http://www.cs.tut.fi/sera2012/InfoForStudent.html ) and send that by email to the coordinator. Coordinators: Karen Eguiazarian and Jussi Tohka
Assessment scale:
Numerical evaluation scale (1-5) will be used on the course
Partial passing:
Study material
| Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
| Book | Sparse Representations and Compressive Sensing for Imaging and Vision | V.Patel, R.Chellappa | No | English |
Prerequisite relations (Requires logging in to POP)
Correspondence of content
| Course | Corresponds course | Description |
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |
| SGN-90006 Signal processing doctoral seminar, 2-8cr 1rd and 2nd period, Wednesdays 10-12 at TC133 (TB215 on 15.1.2014 and TB214 on weeks 43-49) First meeting 8.1.2014 Instructors:Karen Eguiazarian and Jussy Tohka Requirements: One student presentation and participation in lectures and presentations Registration: By email to karen.eguiazarian@tut.fi or at the first lecture Sparse Representations and Compressive Sensing for Imaging and Vision The focus of the seminar is to study novel directions in computational imaging, namely, sparse representations and compressive sensing for imaging and vision applications. Each student has to present a selected topic from the course material. |