Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision | ||
|
teaching:ft1819:compressedsensing:start [2018/11/14 11:00] ipa [Lecture Notes] |
teaching:ft1819:compressedsensing:start [2021/03/02 13:28] (current) |
||
|---|---|---|---|
| Line 1: | Line 1: | ||
| ====== Lecture: A Mathematical Introduction to Compressed Sensing ====== | ====== Lecture: A Mathematical Introduction to Compressed Sensing ====== | ||
| + | |||
| + | ====== Exam ====== | ||
| + | |||
| + | The **exam** is scheduled for **19.02** in room 4/209. Please find you assigned time slot below. | ||
| + | * **11:00 - 11:35** Steffen Bauer | ||
| + | * **11:45 - 12:20** Ulrich Kunz | ||
| + | * **12:30 - 13:05** Carlos Albertos Rios | ||
| + | * small break | ||
| + | * **13:30 - 14.05** Jonathan Schwarz | ||
| + | * **14:15 - 14:50** André Schulze | ||
| + | * **15:00 - 15.35** Michael Tabachnik | ||
| + | * **15:45 - 16:20** Aliya Amirzhanova | ||
| ==== Content ==== | ==== Content ==== | ||
| Line 11: | Line 23: | ||
| The content of the lecture is targeted at students of mathematics and scientific computing with a long-term interest in mathematical imaging, to prepare them for more advanced topics closer to research. | The content of the lecture is targeted at students of mathematics and scientific computing with a long-term interest in mathematical imaging, to prepare them for more advanced topics closer to research. | ||
| In an effort to help students draw relationships between the theoretical concepts and practical applications, the course is accompanied by an optional programming project. | In an effort to help students draw relationships between the theoretical concepts and practical applications, the course is accompanied by an optional programming project. | ||
| + | |||
| ==== Language ==== | ==== Language ==== | ||
| Line 39: | Line 52: | ||
| * Week 3 {{ :teaching:ft1819:compressedsensing:lecture3.pdf |Recovery of individual sparse vectors; NP-hardness of l0-minimization}} {{ :teaching:ft1819:compressedsensing:l0-np-hardness.pdf |Slides}} | * Week 3 {{ :teaching:ft1819:compressedsensing:lecture3.pdf |Recovery of individual sparse vectors; NP-hardness of l0-minimization}} {{ :teaching:ft1819:compressedsensing:l0-np-hardness.pdf |Slides}} | ||
| * Week 4 {{ :teaching:ft1819:compressedsensing:lecture4.pdf |l-p minimization for l-0 minimization; Null space property}} | * Week 4 {{ :teaching:ft1819:compressedsensing:lecture4.pdf |l-p minimization for l-0 minimization; Null space property}} | ||
| + | * Week 11 {{ :teaching:ft1819:compressedsensing:rip.pdf | Restricted Isometry Propery}} | ||
| + | * Week 12 {{ :teaching:ft1819:compressedsensing:coherence.pdf |Coherence}} {{ :teaching:ft1819:compressedsensing:greedymethods.pdf |Greedy Methods}} | ||