12 - Session 12 [ID:33253]
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01:57:16 Min

Aufnahmedatum

2021-05-21

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2021-05-21 16:48:39

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en-US

This is the record of Session 12 given on Friday, May 21, 2021. In this session, we continue with our discussions of Noisy Sparse Recovery. We formulate the Regularized LS method with l0-norm as the optimal LS-based sparse recovery. We then go for l1-norm regularization. The second half of the session discusses the solution to Assignmemnt 2.

Tags

Sparse Recovery Compressive Sensing Compressed Sensing Sparse Rocovery Basis Pursuit LASSO Orthogonal Matching Pursuit Compressive Sampling Matching Pursuit Subspace Pursuit Iterative Thresholding Algorithms Least-Squares Method