منابع مشابه
Theoretical links between universal and Bayesian compressed sensing algorithms
Quantized maximum a posteriori (Q-MAP) is a recently-proposed Bayesian compressed sensing algorithm that, given the source distribution, recovers X from its linear measurements Y m = AX, where A ∈ R denotes the known measurement matrix. On the other hand, Lagrangian minimum entropy pursuit (L-MEP) is a universal compressed sensing algorithm that aims at recovering X from its linear measurements...
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ژورنال
عنوان ژورنال: Pacific Journal of Mathematics
سال: 1998
ISSN: 0030-8730
DOI: 10.2140/pjm.1998.182.55