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We study the problem of reconstructing a sparse signal from a limited number of linear measurements, when a part of its support and the signal estimate on it are known. The support and signal estimate can be obtained from prior knowledge, e.g., in a real-time dynamic MRI application, they could be the support and signal estimate from the previous time instant. We propose regularized Modified Basis...
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