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

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SUMMARY

This discussion focuses on recommended resources for learning about compressed sensing, particularly for individuals with a moderate mathematical background. Key suggestions include the papers by Surya and the book "An Introduction To Compressive Sampling" by Candes and Watkins, which is noted for its readability. Additionally, Terry Tao's notes and lectures are highlighted as valuable resources for understanding the topic. The discussion emphasizes the need for materials that balance intuition and formal proofs.

PREREQUISITES
  • Basic understanding of linear algebra and signal processing concepts.
  • Familiarity with mathematical proofs and theoretical frameworks.
  • Knowledge of neurobiology applications related to compressed sensing.
  • Access to online resources and academic papers on the topic.
NEXT STEPS
  • Read "An Introduction To Compressive Sampling" by Candes and Watkins.
  • Explore Terry Tao's lecture notes on compressed sensing.
  • Review the papers by Surya on dynamic compressed sensing.
  • Investigate applications of compressed sensing in neurobiology through referenced studies.
USEFUL FOR

Students, researchers, and professionals interested in signal processing, particularly those seeking a comprehensive introduction to compressed sensing with a focus on both theoretical and practical applications.

Physics Monkey
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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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