Aug 14, 2020 · A fundamental question in the performance analysis of OMP is the characterizations of the probability of exact recovery of x for random matrix A ...
Aug 12, 2020 · A fundamental question in the performance analysis of OMP is the characterizations of the probability of exact recovery of x for random matrix A ...
Abstract—Exact recovery of K-sparse signals x ∈ Rn from linear measurements y = Ax, where A ∈ Rm×n is a sensing matrix, arises from many applications.
The orthogonal matching pursuit (OMP) algorithm is a commonly used algorithm for recovering $K$-sparse signals $\x\in \mathbb{R}^{n}$ from linear model $\y=\A\x ...
The orthogonal matching pursuit (OMP) algorithm is widely used for reconstructing \boldsymbol x based on \boldsymbol y and \boldsymbol A due to its excellent ...
Readers on ; Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery · IEEE Transactions on Signal Processing, August 2020.
Jinming Wen, Rui Zhang, Wei Yu: Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery. CoRR abs/2008.05071 (2020).
ABSTRACT. The orthogonal matching pursuit (OMP) algorithm is a com- monly used algorithm for recovering K-sparse signals x ∈. Rn from linear model y = Ax, ...
Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery · Jinming WenRui ZhangWei Yu. Engineering, Computer Science. IEEE ...
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Aug 13, 2020 · Jinming Wen, Rui Zhang, Wei Yu: Signal-Dependent Performance Analysis of Orthogonal Matching Pursuit for Exact Sparse Recovery ...