标题
Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP)
作者
关键词
-
出版物
IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 59, Issue 7, Pages 4290-4308
出版商
Institute of Electrical and Electronics Engineers (IEEE)
发表日期
2013-03-13
DOI
10.1109/tit.2013.2252232
参考文献
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。- Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior
- (2012) Subhojit Som et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- A Message-Passing Receiver for BICM-OFDM Over Unknown Clustered-Sparse Channels
- (2011) Philip Schniter IEEE Journal of Selected Topics in Signal Processing
- On Phase Transition of Compressed Sensing in the Complex Domain
- (2011) Zai Yang et al. IEEE SIGNAL PROCESSING LETTERS
- The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing
- (2011) Mohsen Bayati et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- The Group Lasso for Stable Recovery of Block-Sparse Signal Representations
- (2011) Xiaolei Lv et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer
- (2010) Jie Peng et al. Annals of Applied Statistics
- Support union recovery in high-dimensional multivariate regression
- (2010) Guillaume Obozinski et al. ANNALS OF STATISTICS
- $\ell_{2}/\ell_{1}$-Optimization in Block-Sparse Compressed Sensing and Its Strong Thresholds
- (2010) M. Stojnic IEEE Journal of Selected Topics in Signal Processing
- Optimally Tuned Iterative Reconstruction Algorithms for Compressed Sensing
- (2010) A. Maleki et al. IEEE Journal of Selected Topics in Signal Processing
- Theoretical and Empirical Results for Recovery From Multiple Measurements
- (2010) Ewout van den Berg et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Model-Based Compressive Sensing
- (2010) Richard G. Baraniuk et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
- (2010) Yonina C. Eldar et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- The group lasso for logistic regression
- (2010) Lukas Meier et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Precise Undersampling Theorems
- (2010) David L. Donoho et al. PROCEEDINGS OF THE IEEE
- Computational Methods for Sparse Solution of Linear Inverse Problems
- (2010) Joel A Tropp et al. PROCEEDINGS OF THE IEEE
- Iterative hard thresholding for compressed sensing
- (2009) Thomas Blumensath et al. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements
- (2009) M. Stojnic et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- High-Resolution Radar via Compressed Sensing
- (2009) M.A. Herman et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Sparse Reconstruction by Separable Approximation
- (2009) S.J. Wright et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing
- (2009) D. Donoho et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Message-passing algorithms for compressed sensing
- (2009) David L. Donoho et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
- (2008) D. Needell et al. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- Multitask Compressive Sensing
- (2008) S. Ji et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Probing the Pareto Frontier for Basis Pursuit Solutions
- (2008) Ewout van den Berg et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- On the asymptotic properties of the group lasso estimator for linear models
- (2008) Yuval Nardi et al. Electronic Journal of Statistics
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now