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A Mathematical Introduction to Compressive Sensing

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  • 644 pages
  • 23 hours of reading

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Compressive sensing merges mathematics, engineering, and computer science, enabling simultaneous data acquisition and compression. This innovative field has significant applications in imaging and signal processing, sparking extensive research in applied mathematics, electrical engineering, and theoretical computer science. The foundational principles not only showcase remarkable efficiency but also captivate pure mathematicians with their elegant concepts.

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A Mathematical Introduction to Compressive Sensing, Simon Foucart, Holger Rauhut

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Released
2015
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