Paper Citation Record · LEDGER

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets

As of 21 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2607.20020.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.20020 v1

Coverage vector

measured 51 of 51 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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External citation measurements

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Outbound references

Observation 8400bacb-4dcc-4f2d-9171-0e801c9f201b · outbound

This paper cites On optimal wavelet reconstructions from Fourier samples: Linearity and universality of the stable sampling rate.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets On optimal wavelet reconstructions from Fourier samples: Linearity and universality of the stable sampling rate

Reference 1

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Observation d93bc868-d1da-4856-a13f-f6d7080258bb · outbound

This paper cites Breaking the coherence barrier: a new theory for compressed sensing.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Breaking the coherence barrier: a new theory for compressed sensing

Reference 2

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Observation a147d1b8-93d4-41ec-874b-0af767edc6cf · outbound

This paper cites Infinite dimensional compressed sensing from anisotropic measurements and applications to inverse problems in PDE.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Infinite dimensional compressed sensing from anisotropic measurements and applications to inverse problems in PDE

Reference 3

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Observation 15e23b8d-fbc9-4497-a7ef-d60207a0983d · outbound

This paper cites Compressed sensing for inverse problems II: applications to deconvolution, source recovery, and MRI.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Compressed sensing for inverse problems II: applications to deconvolution, source recovery, and MRI

Reference 4

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Observation 0aea3d5f-4dac-48d5-82d5-9eca875ce5c5 · outbound

This paper cites New tight frames of curvelets and optimal representa- tions of objects with piecewise C 2 singularities.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets New tight frames of curvelets and optimal representa- tions of objects with piecewise C 2 singularities

Reference 5

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Observation 1f04393c-7d2f-460b-a84c-1b6c73155b7c · outbound

This paper cites Sparsity and incoherence in compressive sampling.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Sparsity and incoherence in compressive sampling

Reference 6

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Observation e6ca4f96-c36e-41a8-b50a-aa40bb9d25e1 · outbound

This paper cites Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information

Reference 7

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Observation 8c8a29a0-171b-4e75-a7f2-b628ee4b3f6e · outbound

This paper cites Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?

Reference 8

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Observation de889230-0093-471b-9edf-caed6755c388 · outbound

This paper cites Compressed sensing with coherent and redundant dictionaries.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Compressed sensing with coherent and redundant dictionaries

Reference 9

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Observation 0b2fdcad-a9d9-4d1f-b3d9-ee63dd71e4c4 · outbound

This paper cites An Introduction to Frames and Riesz Bases.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets An Introduction to Frames and Riesz Bases

Reference 10

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Observation f608a5b0-4657-4aa4-beb6-967051fe49af · outbound

This paper cites Frames of exponentials: lower frame bounds for finite subfamilies and approximation of the inverse frame operator.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Frames of exponentials: lower frame bounds for finite subfamilies and approximation of the inverse frame operator

Reference 11

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Observation 3edefb96-18f6-469a-a9a9-a94a5e1b7ded · outbound

This paper cites Lower Bounds for Finite Wavelet and Gabor Systems.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Lower Bounds for Finite Wavelet and Gabor Systems

Reference 12

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Observation 39be9042-232f-433d-9f8e-91ae64935812 · outbound

This paper cites Localization of frames ii.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Localization of frames ii

Reference 13

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Observation c9c4d89d-41a7-4644-beef-0b88a1ba8c28 · outbound

This paper cites Nonlinear Approximation.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Nonlinear Approximation

Reference 14

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Observation 70a78d17-413f-4bb8-9973-8c198fba896d · outbound

This paper cites Compressed sensing.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Compressed sensing

Reference 15

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Observation 6bac8a9c-60be-49d5-bfea-b46a1c2af654 · outbound

This paper cites Wedgelets: Nearly Minimax Estimation of Edges.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Wedgelets: Nearly Minimax Estimation of Edges

Reference 16

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Observation af96822c-171e-4cb5-8e39-0e72d037bfb2 · outbound

This paper cites Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications

Reference 17

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Observation 2acaf66e-05d5-4201-a5e9-4302a5c0d03b · outbound

This paper cites Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing

Reference 18

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Observation 77098f92-cbc4-4e61-ba99-1b660464624f · outbound

This paper cites Intrinsic localization of frames.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Intrinsic localization of frames

Reference 19

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Observation 0bc6c1a4-4477-44c0-957d-45fec19ed012 · outbound

This paper cites A mathematical introduction to compressive sensing.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets A mathematical introduction to compressive sensing

Reference 20

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Observation 410c6bce-43a8-4314-8f39-36503eee6f27 · outbound

This paper cites α-Molecules.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets α-Molecules

Reference 21

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Observation c1d342f3-c03f-4670-9539-199a76a972e8 · outbound

This paper cites Parabolic Molecules.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Parabolic Molecules

Reference 22

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Observation 8fbce5ef-e641-4d61-9fcd-ecfd422ed9e1 · outbound

This paper cites Optimally Sparse Multidimensional Representation Using Shear- lets.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Optimally Sparse Multidimensional Representation Using Shear- lets

Reference 23

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Observation a0a74568-06e5-425e-a74b-8390218c907a · outbound

This paper cites The Construction of Smooth Parseval Frames of Shearlets.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets The Construction of Smooth Parseval Frames of Shearlets

Reference 24

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Observation 6ca41c75-32e0-4dcf-8b8b-01b32413d92f · outbound

This paper cites Analyzing the structure of multidimensional compressed sensing problems through coherence.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Analyzing the structure of multidimensional compressed sensing problems through coherence

Reference 25

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Observation 6c0ee969-8356-4bda-9c10-39404a32d3b2 · outbound

This paper cites Construction of compactly supported shear- let frames.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Construction of compactly supported shear- let frames

Reference 26

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Observation 9e45e757-908d-45c4-917d-56bd2e247bc9 · outbound

This paper cites Playing with Duality: An overview of recent primal- dual approaches for solving large-scale optimization problems.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Playing with Duality: An overview of recent primal- dual approaches for solving large-scale optimization problems

Reference 27

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Observation 7db7bbd5-5f62-4509-841b-336eca33b742 · outbound

This paper cites Compressive Sensing with Redundant Dictio- naries and Structured Measurements.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Compressive Sensing with Redundant Dictio- naries and Structured Measurements

Reference 28

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Observation d785c7eb-00e1-426a-a97e-751895efaf18 · outbound

This paper cites Stable and robust sampling strategies for compressive imaging.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Stable and robust sampling strategies for compressive imaging

Reference 29

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Observation e9f66fe0-2f01-469c-b658-cd8b8579d894 · outbound

This paper cites Introduction to Shearlets.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Introduction to Shearlets

Reference 30

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Observation 807f3f17-2e43-4eab-9e88-edf17afd091e · outbound

This paper cites Compactly supported shearlets are optimally sparse.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Compactly supported shearlets are optimally sparse

Reference 31

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Observation 475b419e-ad1c-49ca-9b5b-2be96a8fa468 · outbound

This paper cites Optimal compressive imaging of Fourier data.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Optimal compressive imaging of Fourier data

Reference 32

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Observation 218e5660-ba66-4aa7-b003-81db149a2218 · outbound

This paper cites ShearLab 3D: Faithful Digital Shearlet Trans- forms Based on Compactly Supported Shearlets.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets ShearLab 3D: Faithful Digital Shearlet Trans- forms Based on Compactly Supported Shearlets

Reference 33

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Observation c4f3a89b-c54a-4229-972d-5579773901ca · outbound

This paper cites Sparse multidimensional representation using shearlets.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Sparse multidimensional representation using shearlets

Reference 34

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Observation 16f1f3dc-06d5-4595-a408-fe47df3b4780 · outbound

This paper cites Sparse MRI: The application of compressed sensing for rapid MR imaging.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Sparse MRI: The application of compressed sensing for rapid MR imaging

Reference 35

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Observation 7bd72621-b8a5-4903-a973-601ec26b7901 · outbound

This paper cites Generalized sampling reconstruction from Fourier measurements using compactly sup- ported shearlets.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Generalized sampling reconstruction from Fourier measurements using compactly sup- ported shearlets

Reference 36

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Observation 2f5d0f59-02a6-44b0-9296-b652f6985a15 · outbound

This paper cites Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweighting

Reference 37

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Observation 0b0b02f3-03af-48d4-b6d2-d6f1d2f95eb5 · outbound

This paper cites Sparse recovery from Fourier measurements using compactly supported shear- lets.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Sparse recovery from Fourier measurements using compactly supported shear- lets

Reference 38

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This paper cites A wavelet tour of signal processing.

On the sample complexity of Fourier compressed sensing: wavelets versus shearlets A wavelet tour of signal processing

Reference 39

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Certain topics in telegraph transmission theory

Reference 40

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets UNLocBoX: A MATLAB convex optimization toolbox for proximal-splitting methods

Reference 41

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Structure dependent sampling in compressed sensing: Theoretical guarantees for tight frames

Reference 42

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Compressed Sensing and Redundant Dictionaries

Reference 43

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets On sparse reconstruction from Fourier and Gaussian mea- surements

Reference 44

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Communication in the presence of noise

Reference 45

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets ShearLab 3D software

Reference 46

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets A parametrix construction for wave equations with C 1,1 coefficients

Reference 47

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets MATLAB version 24.2 (R2024b)

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Wavelet Toolbox version 24.2 (R2024b)

Reference 49

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Compressed sensing magnetic resonance imaging based on shearlet sparsity and nonlocal total variation

Reference 50

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On the sample complexity of Fourier compressed sensing: wavelets versus shearlets Unresolved cited work

Reference 2024

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