Cosparsity in Compressed Sensing (Q3460838)

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Language	Label	Description	Also known as
English	Cosparsity in Compressed Sensing	scientific article

Statements

scholarly article

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Cosparsity in Compressed Sensing (English)

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Maryia Kabanava

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Compressed Sensing and its Applications

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publication date

8 January 2016

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1007/978-3-319-16042-9_11

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Differentiation and the Balian-Low theorem

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Sampling and Reconstructing Signals From a Union of Linear Subspaces

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Sampling Theorems for Signals From the Union of Finite-Dimensional Linear Subspaces

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Convergence rates of convex variational regularization

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New tight frames of curvelets and optimal representations of objects with piecewise <i>C</i><sup>2</sup> singularities

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Compressed sensing with coherent and redundant dictionaries

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

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Finite frames. Theory and applications.

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Image Processing and Analysis

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The convex geometry of linear inverse problems

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An introduction to frames and Riesz bases

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Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property

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A Class of Nonharmonic Fourier Series

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Analysis versus synthesis in signal priors

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Stability and robustness of \(\ell_1\)-minimizations with Weibull matrices and redundant dictionaries

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A mathematical introduction to compressive sensing

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On Sparse Representations in Arbitrary Redundant Bases

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Greedy-like algorithms for the cosparse analysis model

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Linear convergence rates for Tikhonov regularization with positively homogeneous functionals

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Foundations of time-frequency analysis

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Stable Signal Reconstruction via $\ell^1$-Minimization in Redundant, Non-Tight Frames

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Analysis Operator Learning and its Application to Image Reconstruction

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Analysis \(\ell_1\)-recovery with frames and Gaussian measurements

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Robust analysis ℓ<sub>1</sub>-recovery from Gaussian measurements and total variation minimization

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Suprema of Chaos Processes and the Restricted Isometry Property

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Stable and Robust Sampling Strategies for Compressive Imaging

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Compressed Sensing With General Frames via Optimal-Dual-Based $\ell _{1}$-Analysis

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Reconstruction and subgaussian operators in asymptotic geometric analysis

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The cosparse analysis model and algorithms

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Stable Image Reconstruction Using Total Variation Minimization

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Performance Guarantees of the Thresholding Algorithm for the Cosparse Analysis Model

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Random sampling of sparse trigonometric polynomials

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Restricted isometries for partial random circulant matrices

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Compressive Sensing by Random Convolution

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Affine systems in \(L_ 2(\mathbb{R}^d)\): The analysis of the analysis operator

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Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model

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On sparse reconstruction from Fourier and Gaussian measurements

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Nonlinear total variation based noise removal algorithms

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Recovery of Short, Complex Linear Combinations Via&lt;tex&gt;$ell _1$&lt;/tex&gt;Minimization

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Model selection with low complexity priors

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Robust Sparse Analysis Regularization

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Identifiers

zbMATH Open document ID

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10.1007/978-3-319-16042-9_11

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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:3460838

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