4.6 Article

Recovery analysis for l2/l1-2 minimization via prior support information

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Mathematics, Applied

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

Wendong Wang et al.

ANALYSIS AND APPLICATIONS (2020)

Article Mathematics, Applied

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

Wengu Chen et al.

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2019)

Article Mathematics, Applied

THE HIGH ORDER BLOCK RIP CONDITION FOR SIGNAL RECOVERY

Yaling Li et al.

JOURNAL OF COMPUTATIONAL MATHEMATICS (2019)

Article Engineering, Electrical & Electronic

Sharp sufficient condition of block signal recovery via l2/l1-minimisation

Jianwen Huang et al.

IET SIGNAL PROCESSING (2019)

Article Engineering, Electrical & Electronic

Block-sparse signal recovery via λ2/λ1-2minimisation method

Wendong Wang et al.

IET SIGNAL PROCESSING (2018)

Article Engineering, Electrical & Electronic

Recovery of signals under the high order RIP condition via prior support information

Wengu Chen et al.

SIGNAL PROCESSING (2018)

Article Mathematics, Applied

A new bound on the block restricted isometry constant in compressed sensing

Yi Gao et al.

JOURNAL OF INEQUALITIES AND APPLICATIONS (2017)

Article Mathematics, Applied

Recovery analysis for weighted l1-minimization using the null space property

Hassan Mansour et al.

APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS (2017)

Article Engineering, Electrical & Electronic

Compressed Sensing with Non-Gaussian Noise and Partial Support Information

Ahmad Abou Saleh et al.

IEEE SIGNAL PROCESSING LETTERS (2015)

Article Computer Science, Information Systems

Time Invariant Error Bounds for Modified-CS-Based Sparse Signal Sequence Recovery

Jinchun Zhan et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2015)

Article Radiology, Nuclear Medicine & Medical Imaging

Compressed sensing for longitudinal MRI: An adaptive-weighted approach

Lior Weizman et al.

MEDICAL PHYSICS (2015)

Article Mathematics, Applied

MINIMIZATION OF l1-2 FOR COMPRESSED SENSING

Penghang Yin et al.

SIAM JOURNAL ON SCIENTIFIC COMPUTING (2015)

Article Engineering, Electrical & Electronic

Restricted p-isometry properties of nonconvex block-sparse compressed sensing

Yao Wang et al.

SIGNAL PROCESSING (2014)

Article Mathematics, Applied

Block sparse recovery via mixed l 2/l 1 minimization

Jun Hong Lin et al.

ACTA MATHEMATICA SINICA-ENGLISH SERIES (2013)

Article Engineering, Electrical & Electronic

Compressed Sensing and Affine Rank Minimization Under Restricted Isometry

T. Tony Cai et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2013)

Article Engineering, Electrical & Electronic

Nonconvex compressed sensing with partially known signal support

Taner Ince et al.

SIGNAL PROCESSING (2013)

Article Computer Science, Information Systems

Recovering Compressively Sampled Signals Using Partial Support Information

Michael P. Friedlander et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2012)

Article Statistics & Probability

THE BENEFIT OF GROUP SPARSITY

Junzhou Huang et al.

ANNALS OF STATISTICS (2010)

Article Engineering, Electrical & Electronic

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

Namrata Vaswani et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2010)

Article Engineering, Electrical & Electronic

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

Yonina C. Eldar et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2010)

Article Engineering, Electrical & Electronic

Compressed sensing of color images

Angshul Majumdar et al.

SIGNAL PROCESSING (2010)

Article Engineering, Electrical & Electronic

A short note on compressed sensing with partially known signal support

Laurent Jacques

SIGNAL PROCESSING (2010)

Article Computer Science, Information Systems

Robust Recovery of Signals From a Structured Union of Subspaces

Yonina C. Eldar et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2009)

Article Engineering, Electrical & Electronic

Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays

Farzad Parvaresh et al.

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2008)

Article Computer Science, Artificial Intelligence

A unified algebraic approach to 2-D and 3-D motion segmentation and estimation

Rene Vidal et al.

JOURNAL OF MATHEMATICAL IMAGING AND VISION (2006)

Article Computer Science, Information Systems

Compressed sensing

DL Donoho

IEEE TRANSACTIONS ON INFORMATION THEORY (2006)

Article Computer Science, Information Systems

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

EJ Candès et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2006)

Article Computer Science, Information Systems

Decoding by linear programming

EJ Candes et al.

IEEE TRANSACTIONS ON INFORMATION THEORY (2005)