In the previous theoretical Part I of the book, we showed that under fairly broad conditions on the number of measurements needed, many important classes of structured signals can be recovered via computationally tractable optimization problems, such as ℓ1 minimization for recovering sparse signals and nuclear norm minimization for recovering low-rank matrices.
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