Analysis of Random Measurements Commentary and Bibliography for the Ipam Short Course
نویسنده
چکیده
The restricted isometry condition. The proof that the Restricted Isometry Condition is sufficient for sparse recovery using convex programming is due to Candes and Tao [2]. A simpler proof, also due to Candes and Tao, is in [4]. Applications of restricted isometries to vector quantization and democratic coding are found in [10], and applications to computing the condition number of random matrices are found in [18].
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