
Emmanuel Candès
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Available for:
- Corporate Appearances
- Speaking Engagements
- Virtual Events
- Moderated Q&A Sessions
- Fireside Chats
- Meet-And-Greets
Emmanuel Candès is a mathematician and statistician known for developing a unified framework for addressing a range of problems in engineering and computer science most notably compressed sensing. Compressed sensing is a technique for efficiently reconstructing or acquiring signals that make up sounds and images.
Candès's research focuses on reconstructing high-resolution images from small numbers of random measurements as well as recovering the missing entries in massive data tables.Candès and colleagues were able to reconstruct high-resolution signals from sparse measurements under specified conditions.
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