Pages that link to "Item:Q382361"
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The following pages link to On exact recovery of sparse vectors from linear measurements (Q382361):
Displaying 17 items.
- Recovery of sparsest signals via \(\ell^q \)-minimization (Q413642) (← links)
- A necessary and sufficient condition for exact sparse recovery by \(\ell_1\) minimization (Q664941) (← links)
- On the recovery of an integer vector from linear measurements (Q668316) (← links)
- Sparse disjointed recovery from noninflating measurements (Q890475) (← links)
- A note on guaranteed sparse recovery via \(\ell_1\)-minimization (Q984666) (← links)
- Real versus complex null space properties for sparse vector recovery (Q990237) (← links)
- Exact recovery of sparse multiple measurement vectors by \(l_{2,p}\)-minimization (Q1691327) (← links)
- Sparse recovery using the discrete cosine transform (Q2050708) (← links)
- Kolmogorov widths of intersections of finite-dimensional balls (Q2145077) (← links)
- Kolmogorov widths of the intersection of two finite-dimensional balls (Q2234439) (← links)
- Reconstruction of jointly sparse vectors via manifold optimization (Q2311804) (← links)
- Letter to the editor: ``On exact recovery of sparse vectors from linear measurements'' (Q2343885) (← links)
- Concentration of \(S\)-largest mutilated vectors with \(\ell_p\)-quasinorm for \(0<p\leq 1\) and its applications (Q2449220) (← links)
- Recovery of Short, Complex Linear Combinations Via&lt;tex&gt;$ell _1$&lt;/tex&gt;Minimization (Q3547717) (← links)
- Recovery Algorithms for Vector-Valued Data with Joint Sparsity Constraints (Q3624383) (← links)
- On the Fundamental Limits of Recovering Tree Sparse Vectors From Noisy Linear Measurements (Q5346147) (← links)
- About systems of vectors and subspaces in finite dimensional space recovering vectorsignal (Q6170395) (← links)
