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| - | ====== Lecture: A mathematical introduction to Compressed Sensing ====== | ||
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| - | ** Language: ** English or German, as the audience requests. | ||
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| - | ** Content: ** This lecture covers basic concepts | ||
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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. | ||
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| - | ** Prerequisites: ** All proofs are elementary and only require knowledge from the mandatory undegraduate courses on analysis, linear algebra and probabilities. Basic tools from convex optimization will be provided. | ||
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| - | ** Registration: ** If you wish to attend the lecture and the exercises, please sign up using [[https://muesli.mathi.uni-heidelberg.de/|MÜSLI]]. | ||
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| - | <color #ed1c24>You have to be logged in to access the files listed below.</color> | ||
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| - | **Lecture Notes ** | ||