This entry is from Winter semester 2018/19 and might be obsolete. No current equivalent could be found.

# Compressive Sensing (dt. Compressive Sensing)

 Level, degree of commitment Specialization module, depends on importing study program Forms of teaching and learning,workload Lecture (3 SWS), recitation class (1 SWS), 180 hours (60 h attendance, 120 h private study) Credit points,formal requirements 6 CP Course requirement(s): Written examination Examination type: Successful completion of at least 50 percent of the points from the weekly exercises. Language,Grading German,The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Mathematics. Subject, Origin Mathematics, M.Sc. Mathematics Duration,frequency One semester, Ca. alle 2 Jahre Person in charge of the module's outline N.N.

## Contents

Compressive Sensing deals with the measurability of sparsely populated signals on the basis of at first glance insufficient information. Well-known applications are the so-called ''one pixel camera'' and computer tomography.

After a detailed discussion of the basics from linear algebra, probability theory, optimization and functional analysis, we systematically work out the fundamental results of the area. Results on null space and restricted isometry property of measurement matrices allows to establish algorithms (Basis Pursuit, Orthogonal Matching Pursuit) which can decode sparse data vectors on the basis of only few measurements.

## Qualification Goals

Students gain experience in relation to

• modelling in applied mathematics,
• the need to develop fast algorithms,
• combining methods from different mathematical disciplines,
• using connections of different applications of a theory.

## Prerequisites

Translation is missing. Here is the German original:

Keine. Empfohlen werden die Kompetenzen, die in Lineare Algebra I und II sowie Grundlagen der Wahrscheinlichkeitstheorie vermittelt werden.

• A Mathematical Introduction to Compressive Sensing, 2013 Springer Verlag, Simon Foucart und Holger Rauhut.

This page describes a module according to the latest valid module guide in Winter semester 2018/19. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.