250106 VO Compresses sensing (2012S)
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Details
Language: English
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
Thursday
01.03.
10:00 - 11:00
Seminarraum
Tuesday
06.03.
10:00 - 12:00
Seminarraum
Thursday
08.03.
10:00 - 11:00
Seminarraum
Tuesday
13.03.
10:00 - 12:00
Seminarraum
Thursday
15.03.
10:00 - 11:00
Seminarraum
Tuesday
20.03.
10:00 - 12:00
Seminarraum
Thursday
22.03.
10:00 - 11:00
Seminarraum
Tuesday
27.03.
10:00 - 12:00
Seminarraum
Thursday
29.03.
10:00 - 11:00
Seminarraum
Tuesday
17.04.
10:00 - 12:00
Seminarraum
Thursday
19.04.
10:00 - 11:00
Seminarraum
Tuesday
24.04.
10:00 - 12:00
Seminarraum
Thursday
26.04.
10:00 - 11:00
Seminarraum
Thursday
03.05.
10:00 - 11:00
Seminarraum
Tuesday
08.05.
10:00 - 12:00
Seminarraum
Thursday
10.05.
10:00 - 11:00
Seminarraum
Tuesday
15.05.
10:00 - 12:00
Seminarraum
Tuesday
22.05.
10:00 - 12:00
Seminarraum
Thursday
24.05.
10:00 - 11:00
Seminarraum
Thursday
31.05.
10:00 - 11:00
Seminarraum
Tuesday
05.06.
10:00 - 12:00
Seminarraum
Tuesday
12.06.
10:00 - 12:00
Seminarraum
Thursday
14.06.
10:00 - 11:00
Seminarraum
Tuesday
19.06.
10:00 - 12:00
Seminarraum
Thursday
21.06.
10:00 - 11:00
Seminarraum
Tuesday
26.06.
10:00 - 12:00
Seminarraum
Thursday
28.06.
10:00 - 11:00
Seminarraum
Information
Aims, contents and method of the course
Assessment and permitted materials
Oral exam
Minimum requirements and assessment criteria
The course will present the foundations of compressed sensing and the underlying mathematics. The deepest results in compressed sensing are connected and revive some fundamental problem in the local theory of Banach spaces as well as in probability theory.
Examination topics
Prerequisites: good knowledge of linear algebra and the basic of probability theory (expectation, random variable, density)
Additional material will be discussed during the lectures.
Additional material will be discussed during the lectures.
Reading list
Literatur: Ich werde mich auf eine Vorabdruck des Buches ``A
mathematical introduction to compressive sensing'' von Simon Foucart und
Holger Rauhut stuetzen.Dazu kommen noch``Introduction to compressed sensing'' von M. Davenport, M. Duarte,
Y. Eldar, G. Kutyniok (soll im Februar 2012) erscheinenMichael Elad ``Sparse and redundant representations'' (Springer 2010)sowie Originalliteratur.Eine umfangreiche Liste von Literatur ist auf der
Compressed-Sensing-Webseite der Rice University zusammengestellt: http://dsp.rice.edu/cs
mathematical introduction to compressive sensing'' von Simon Foucart und
Holger Rauhut stuetzen.Dazu kommen noch``Introduction to compressed sensing'' von M. Davenport, M. Duarte,
Y. Eldar, G. Kutyniok (soll im Februar 2012) erscheinenMichael Elad ``Sparse and redundant representations'' (Springer 2010)sowie Originalliteratur.Eine umfangreiche Liste von Literatur ist auf der
Compressed-Sensing-Webseite der Rice University zusammengestellt: http://dsp.rice.edu/cs
Association in the course directory
MAMV
Last modified: Mo 07.09.2020 15:40
The theory of compressed sensing is due to E. Candes, T. Tao (Fields medal 2006), and D. Donoho. Compressed sensing is an interdisciplinary area of research between mathematics, data processing, and statistics. Many researchers believe that compressed will cause a revolution in the way we acquire, process, and store data (of signals, images, and high-dimensional structures).