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The document discusses the recovery of sparse signals in the presence of noise, emphasizing the importance of the restricted isometry property (RIP) for ensuring stability in recovery algorithms. It defines stability in terms of bounded recovery error relative to measurement noise and establishes that RIP is necessary for C-stability. Additionally, it explores measurement bounds necessary for achieving RIP of order 2K, highlighting the relationship between the number of measurements, signal sparsity, and th

Author

aman shukla

Language

EN