Low-Rank Positive Semidefinite Matrix Recovery From Corrupted Rank-One Measurements
نویسندگان
چکیده
منابع مشابه
Low rank matrix recovery from rank one measurements
We study the recovery of Hermitian low rank matrices X ∈ Cn×n from undersampled measurements via nuclear norm minimization. We consider the particular scenario where the measurements are Frobenius inner products with random rank-one matrices of the form ajaj for some measurement vectors a1, . . . , am, i.e., the measurements are given by yj = tr(Xaja ∗ j ). The case where the matrix X = xx ∗ to...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2017
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2016.2620109