UB Paderborn / Katalog / Suche / in CDI

Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization

IEEE journal of selected topics in signal processing, 2016-06, Vol.10 (4), p.782-794

Chi, Yuejie

2016

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Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors

IEEE transactions on signal processing, 2016-03, Vol.64 (5), p.1257-1269

2016

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Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization

IEEE transactions on signal processing, 2015-02, Vol.63 (4), p.1030-1042

2015

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Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

IEEE transactions on signal processing, 2019-10, Vol.67 (20), p.5239-5269

2019

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Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

Foundations of computational mathematics, 2020-06, Vol.20 (3), p.451-632

2020

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Classification and Boosting with Multiple Collaborative Representations

IEEE transactions on pattern analysis and machine intelligence, 2014-08, Vol.36 (8), p.1519-1531

2014

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Robust Spectral Compressed Sensing via Structured Matrix Completion

IEEE transactions on information theory, 2014-10, Vol.60 (10), p.6576-6601

2014

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Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming

IEEE transactions on information theory, 2015-07, Vol.61 (7), p.4034-4059

2015

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Blind Deconvolution From Multiple Sparse Inputs

IEEE signal processing letters, 2016-10, Vol.23 (10), p.1384-1388

2016

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Sensitivity to Basis Mismatch in Compressed Sensing

IEEE transactions on signal processing, 2011-05, Vol.59 (5), p.2182-2195

2011

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Kaczmarz Method for Solving Quadratic Equations

IEEE signal processing letters, 2016-09, Vol.23 (9), p.1183-1187

2016

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Low-Rank Positive Semidefinite Matrix Recovery From Corrupted Rank-One Measurements

IEEE transactions on signal processing, 2017-01, Vol.65 (2), p.397-408

2017

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Subspace Learning From Bits

IEEE transactions on signal processing, 2017-09, Vol.65 (17), p.4429-4442

2017

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PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations

IEEE transactions on signal processing, 2013-12, Vol.61 (23), p.5947-5959

2013

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Softmax policy gradient methods can take exponential time to converge

Mathematical programming, 2023-09, Vol.201 (1-2), p.707-802

2023

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A lightweight transformer for faster and robust EBSD data collection

Scientific reports, 2023-12, Vol.13 (1), p.21253-21253, Article 21253

2023

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Joint sparsity recovery for spectral compressed sensing

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014, p.3938-3942

Yuejie Chi

2014

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Robust blind spikes deconvolution

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, p.2906-2910

Chi, Yuejie

2016

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Compressive graph clustering from random sketches

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015, p.5466-5469

Yuejie Chi

2015

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Blind super-resolution of sparse spike signals

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015, p.1779-1782

Chi, Yuejie

2015

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Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

IEEE transactions on information theory, 2021-07, Vol.67 (7), p.4784-4811

2021

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A large collection of real-world pediatric sleep studies

Scientific data, 2022-07, Vol.9 (1), p.421-421, Article 421

2022

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Nearest subspace classification with missing data

2013 Asilomar Conference on Signals, Systems and Computers, 2013, p.1667-1671

Yuejie Chi

2013

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3D multifocus astigmatism and compressed sensing (3D MACS) based superresolution reconstruction

Biomedical optics express, 2015-03, Vol.6 (3), p.902-917

2015

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Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy

IEEE transactions on computational imaging, 2017-12, Vol.3 (4), p.763-773

2017

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Guaranteed Blind Sparse Spikes Deconvolution via Lifting and Convex Optimization

Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors

Compressive Two-Dimensional Harmonic Retrieval via Atomic Norm Minimization

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval, Matrix Completion, and Blind Deconvolution

Classification and Boosting with Multiple Collaborative Representations

Robust Spectral Compressed Sensing via Structured Matrix Completion

Exact and Stable Covariance Estimation From Quadratic Sampling via Convex Programming

Blind Deconvolution From Multiple Sparse Inputs

Sensitivity to Basis Mismatch in Compressed Sensing

Kaczmarz Method for Solving Quadratic Equations

Low-Rank Positive Semidefinite Matrix Recovery From Corrupted Rank-One Measurements

Subspace Learning From Bits

PETRELS: Parallel Subspace Estimation and Tracking by Recursive Least Squares From Partial Observations

Softmax policy gradient methods can take exponential time to converge

A lightweight transformer for faster and robust EBSD data collection

Joint sparsity recovery for spectral compressed sensing

Robust blind spikes deconvolution

Compressive graph clustering from random sketches

Blind super-resolution of sparse spike signals

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

A large collection of real-world pediatric sleep studies

Nearest subspace classification with missing data

3D multifocus astigmatism and compressed sensing (3D MACS) based superresolution reconstruction

Super-Resolution Image Reconstruction for High-Density Three-Dimensional Single-Molecule Microscopy

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