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Robust signal recovery for ℓ <sub>1–2</sub> minimization via prior support information - MaRDI portal

Robust signal recovery for ℓ <sub>1–2</sub> minimization via prior support information (Q5860797)

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scientific article; zbMATH DE number 7431886

Language	Label	Description	Also known as
English	Robust signal recovery for ℓ <sub>1–2</sub> minimization via prior support information	scientific article; zbMATH DE number 7431886

Statements

scholarly article

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Robust signal recovery for ℓ <sub>1–2</sub> minimization via prior support information (English)

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Inverse Problems

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publication date

23 November 2021

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zbMATH Keywords

compressed sensing

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\(\ell_{1-2}\) minimization

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prior support information

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sparse recovery

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1088/1361-6420/ac274a

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Decoding by Linear Programming

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Compressed sensing

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Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

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The restricted isometry property and its implications for compressed sensing

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New bounds on the restricted isometry constant \(\delta _{2k}\)

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Sharp RIP bound for sparse signal and low-rank matrix recovery

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Compressed Sensing and Affine Rank Minimization Under Restricted Isometry

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Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices

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A Proof of Conjecture on Restricted Isometry Property Constants $\delta _{tk}\ \left(0<t<\frac {4}{3}\right)$

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Modified-CS: Modifying Compressive Sensing for Problems With Partially Known Support

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A short note on compressed sensing with partially known signal support

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Recovering Compressively Sampled Signals Using Partial Support Information

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Recovery of signals under the condition on RIC and ROC via prior support information

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Recovery analysis for weighted \(\ell_{1}\)-minimization using the null space property

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Weighted ${\ell}_{{1}}$-minimization for sparse recovery under arbitrary prior information

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Sparse Signal Reconstruction via Iterative Support Detection

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Sparse Recovery via Partial Regularization: Models, Theory, and Algorithms

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Minimization of $\ell_{1-2}$ for Compressed Sensing

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Sparse Approximation using $\ell_1-\ell_2$ Minimization and Its Application to Stochastic Collocation

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Truncated $l_{1-2}$ Models for Sparse Recovery and Rank Minimization

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<b> <i>ℓ</i> <sub>1</sub> − <i>αℓ</i> <sub>2</sub> </b> minimization methods for signal and image reconstruction with impulsive noise removal

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Robust recovery of signals with partially known support information using weighted BPDN

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Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

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Sparse signal recovery with prior information by iterative reweighted least squares algorithm

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Identifiers

zbMATH Open document ID

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10.1088/1361-6420/ac274a

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:5860797

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