What are some recommended resources for an introduction to compressed sensing?

AI Thread Summary
Recommended resources for an introduction to compressed sensing include the paper by Surya and its supplementary materials, which highlight applications in neurobiology and provide useful references. The book "An Introduction To Compressive Sampling" by Candes and Watkins is noted for its readability. Additionally, Terry Tao offers lecture notes and links to various compressive sensing resources. The discussion emphasizes the need for materials that balance motivation and intuition with formal mathematical content. Overall, these resources cater to those seeking a comprehensive yet accessible understanding of compressed sensing.
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Not sure if this is best subforum for this ... but what I'm looking for is some recommendations for books/articles containing a nice introduction to compressed sensing.

I'm not a mathematician although I would like to think I'm relatively mathematically sophisticated. I appreciate proofs in the right places, but what I really want is something with a lot of motivation/intuition along with the formal stuff. But I also don't want something too pedestrian. I have plenty of time so I'm open to background stuff as well.

Any suggestions?
 
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I was reading documentation about the soundness and completeness of logic formal systems. Consider the following $$\vdash_S \phi$$ where ##S## is the proof-system making part the formal system and ##\phi## is a wff (well formed formula) of the formal language. Note the blank on left of the turnstile symbol ##\vdash_S##, as far as I can tell it actually represents the empty set. So what does it mean ? I guess it actually means ##\phi## is a theorem of the formal system, i.e. there is a...

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