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teaching:ft1819:compressedsensing:start [2018/10/10 13:22] ipa |
teaching:ft1819:compressedsensing:start [2019/02/14 12:25] ipa [Exam] |
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====== Lecture: A Mathematical Introduction to Compressed Sensing ====== | ====== Lecture: A Mathematical Introduction to Compressed Sensing ====== | ||
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+ | ====== Exam ====== | ||
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+ | 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 ==== | ||
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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. | ||
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==== Language ==== | ==== Language ==== | ||
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==== Lecture Notes ==== | ==== Lecture Notes ==== | ||
+ | * Week 1 {{ :teaching:ft1819:compressedsensing:introcs_wt2018_19.pdf | Introduction slides}} | ||
+ | * Week 2 {{ :teaching:ft1819:compressedsensing:lecture1.pdf | Vector spaces and (quasi-)norms; Sparsity and compressibility }} | ||
+ | * 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 11 {{ :teaching:ft1819:compressedsensing:rip.pdf | Restricted Isometry Propery}} | ||
+ | * Week 12 {{ :teaching:ft1819:compressedsensing:coherence.pdf |Coherence}} {{ :teaching:ft1819:compressedsensing:greedymethods.pdf |Greedy Methods}} |