Sparse bayesian methods and their applications
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[1] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[2] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[3] Samuel J. Gershman,et al. A Tutorial on Bayesian Nonparametric Models , 2011, 1106.2697.
[4] Bhaskar D. Rao,et al. An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem , 2007, IEEE Transactions on Signal Processing.
[5] Rémi Gribonval,et al. Blind calibration for compressed sensing by convex optimization , 2011, 1111.7248.
[6] Marco Diani,et al. High-resolution ISAR imaging of maneuvering targets by means of the range instantaneous Doppler technique: modeling and performance analysis , 2001, IEEE Trans. Image Process..
[7] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[8] E. Candès,et al. Sparsity and incoherence in compressive sampling , 2006, math/0611957.
[9] Volkan Cevher,et al. Compressive sensing under matrix uncertainties: An Approximate Message Passing approach , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).
[10] Lei Qi,et al. Sparse High Dimensional Models in Economics. , 2011, Annual review of economics.
[11] E. Candès. The restricted isometry property and its implications for compressed sensing , 2008 .
[12] Yoshua Bengio,et al. A Spike and Slab Restricted Boltzmann Machine , 2011, AISTATS.
[13] Dmitry M. Malioutov,et al. A sparse signal reconstruction perspective for source localization with sensor arrays , 2005, IEEE Transactions on Signal Processing.
[14] Michael Elad,et al. Optimized Projections for Compressed Sensing , 2007, IEEE Transactions on Signal Processing.
[15] Stephen P. Boyd,et al. Disciplined Convex Programming , 2006 .
[16] James G. Scott,et al. The horseshoe estimator for sparse signals , 2010 .
[17] Cheng-Xiang Wang,et al. Wideband spectrum sensing for cognitive radio networks: a survey , 2013, IEEE Wireless Communications.
[18] Lawrence Carin,et al. Multi-Task Learning for Classification with Dirichlet Process Priors , 2007, J. Mach. Learn. Res..
[19] Chi Chung Ko,et al. ML-based frequency estimation and synchronization of frequency hopping signals , 2005, IEEE Transactions on Signal Processing.
[20] Irena Orovic,et al. Compressive Sensing Based Separation of Nonstationary and Stationary Signals Overlapping in Time-Frequency , 2013, IEEE Transactions on Signal Processing.
[21] Yonina C. Eldar,et al. Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery , 2010, IEEE Transactions on Signal Processing.
[22] F. Hlawatsch,et al. Linear and quadratic time-frequency signal representations , 1992, IEEE Signal Processing Magazine.
[23] Thomas Strohmer,et al. General Deviants: An Analysis of Perturbations in Compressed Sensing , 2009, IEEE Journal of Selected Topics in Signal Processing.
[24] Bhaskar D. Rao,et al. Sparse Bayesian learning for basis selection , 2004, IEEE Transactions on Signal Processing.
[25] L. Cohen,et al. Time-frequency distributions-a review , 1989, Proc. IEEE.
[26] Xiaoli Ma,et al. An EM Algorithm for Blind Hop Timing Estimation of Multiple FH Signals Using an Array System With Bandwidth Mismatch , 2007, IEEE Transactions on Vehicular Technology.
[27] Chandra R. Murthy,et al. Cramér-Rao-Type Bounds for Sparse Bayesian Learning , 2012, IEEE Transactions on Signal Processing.
[28] Michael I. Jordan,et al. Variational inference for Dirichlet process mixtures , 2006 .
[29] Mário A. T. Figueiredo. Adaptive Sparseness for Supervised Learning , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Fang Liu,et al. Compressive Sensing SAR Image Reconstruction Based on Bayesian Framework and Evolutionary Computation , 2011, IEEE Transactions on Image Processing.
[31] Matthew J. Beal. Variational algorithms for approximate Bayesian inference , 2003 .
[32] Nikos D. Sidiropoulos,et al. Joint hop timing and frequency estimation for collision resolution in FH networks , 2005, IEEE Transactions on Wireless Communications.
[33] Daniel Hernández-Lobato,et al. Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation , 2013, J. Mach. Learn. Res..
[34] Yachao Li,et al. Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[35] Stephen J. Wright,et al. Toeplitz-Structured Compressed Sensing Matrices , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.
[36] Yachao Li,et al. Bayesian Inverse Synthetic Aperture Radar Imaging , 2011, IEEE Geoscience and Remote Sensing Letters.
[37] Tongtong Li,et al. Anti-Jamming Message-Driven Frequency Hopping—Part I: System Design , 2013, IEEE Transactions on Wireless Communications.
[38] Junfeng Yang,et al. A Fast Alternating Direction Method for TVL1-L2 Signal Reconstruction From Partial Fourier Data , 2010, IEEE Journal of Selected Topics in Signal Processing.
[39] R. Tibshirani,et al. Sparsity and smoothness via the fused lasso , 2005 .
[40] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[41] David B. Dunson,et al. Logistic Stick-Breaking Process , 2011, J. Mach. Learn. Res..
[42] Gang Wang,et al. Multitask Spectrum Sensing in Cognitive Radio Networks via Spatiotemporal Data Mining , 2013, IEEE Transactions on Vehicular Technology.
[43] A. Scaglione,et al. Parameter estimation of spread spectrum frequency-hopping signals using time-frequency distributions , 1997, First IEEE Signal Processing Workshop on Signal Processing Advances in Wireless Communications.
[44] Da-Gang Fang,et al. Translational motion compensation in ISAR image processing , 1995, IEEE Trans. Image Process..
[45] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[46] Müjdat Çetin,et al. A Sparsity-Driven Approach for Joint SAR Imaging and Phase Error Correction , 2012, IEEE Transactions on Image Processing.
[47] James G. Scott,et al. Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction , 2022 .
[48] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[49] Andreas Polydoros,et al. Hop-timing estimation for FH signals using a coarsely channelized receiver , 1996, IEEE Trans. Commun..
[50] Lu Wang,et al. An Autofocus Technique for High-Resolution Inverse Synthetic Aperture Radar Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[51] Vinayak A. Rao,et al. Hierarchical Infinite Divisibility for Multiscale Shrinkage , 2014, IEEE Transactions on Signal Processing.
[52] Hong Sun,et al. Model based Bayesian compressive sensing via Local Beta Process , 2015, Signal Process..
[53] Andreas Weinmann,et al. The L1-Potts Functional for Robust Jump-Sparse Reconstruction , 2012, SIAM J. Numer. Anal..
[54] Emre Ertin,et al. Sparsity and Compressed Sensing in Radar Imaging , 2010, Proceedings of the IEEE.
[55] Zheng Bao,et al. High-Resolution ISAR Imaging by Exploiting Sparse Apertures , 2012, IEEE Transactions on Antennas and Propagation.
[56] S. MacEachern. Decision Theoretic Aspects of Dependent Nonparametric Processes , 2000 .
[57] A.J. Viterbi,et al. Spread spectrum communications: myths and realities , 2002, IEEE Communications Magazine.
[58] Charles V. Jakowatz,et al. Phase gradient autofocus-a robust tool for high resolution SAR phase correction , 1994 .
[59] Chung-ching Chen,et al. Target-Motion-Induced Radar Imaging , 1980, IEEE Transactions on Aerospace and Electronic Systems.
[60] Zhengming Wang,et al. Fast and Adaptive Method for SAR Superresolution Imaging Based on Point Scattering Model and Optimal Basis Selection , 2009, IEEE Transactions on Image Processing.
[61] Cishen Zhang,et al. Robustly Stable Signal Recovery in Compressed Sensing With Structured Matrix Perturbation , 2011, IEEE Transactions on Signal Processing.
[62] B. C. Ng,et al. Sensor-array calibration using a maximum-likelihood approach , 1996 .
[63] Li Xi,et al. Autofocusing of ISAR images based on entropy minimization , 1999 .
[64] Nikos D. Sidiropoulos,et al. Sparse Parametric Models for Robust Nonstationary Signal Analysis: Leveraging the Power of Sparse Regression , 2013, IEEE Signal Processing Magazine.
[65] Xiaoyong Du,et al. Sparse Representation Based Autofocusing Technique for ISAR Images , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[66] Lawrence Carin,et al. Tree-Structured Compressive Sensing With Variational Bayesian Analysis , 2010, IEEE Signal Processing Letters.
[67] Andreas Polydoros,et al. Hop timing estimation for noncoherent frequency-hopped M-FSK intercept receivers , 1995, IEEE Trans. Commun..
[68] Zhihui Zhu,et al. On Projection Matrix Optimization for Compressive Sensing Systems , 2013, IEEE Transactions on Signal Processing.
[69] David B. Dunson,et al. Multi-task compressive sensing with Dirichlet process priors , 2008, ICML '08.
[70] Don J. Torrieri,et al. Mobile frequency-hopping CDMA systems , 2000, IEEE Trans. Commun..
[71] ZhangYin,et al. Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing , 2011 .
[72] Kush R. Varshney,et al. Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing , 2014, IEEE Signal Processing Magazine.
[73] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[74] P. Lacomme,et al. Synthetic Aperture Radar , 2001 .
[75] R. Calderbank,et al. Chirp sensing codes: Deterministic compressed sensing measurements for fast recovery , 2009 .
[76] Lawrence Carin,et al. Exploiting Structure in Wavelet-Based Bayesian Compressive Sensing , 2009, IEEE Transactions on Signal Processing.
[77] Yiyu Zhou,et al. An Efficient Maximum Likelihood Method for Direction-of-Arrival Estimation via Sparse Bayesian Learning , 2012, IEEE Transactions on Wireless Communications.
[78] Emmanuel J. Candès,et al. Decoding by linear programming , 2005, IEEE Transactions on Information Theory.
[79] P. W. Jones,et al. Digital Image Compression Techniques , 1991 .
[80] Philip Schniter,et al. Tracking and smoothing of time-varying sparse signals via approximate belief propagation , 2010, 2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers.
[81] Vito Pascazio,et al. Maximum a posteriori estimation of height profiles in InSAR imaging , 2004, IEEE Geoscience and Remote Sensing Letters.
[82] Lu Wang,et al. Enhanced ISAR Imaging by Exploiting the Continuity of the Target Scene , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[83] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[84] Jian-Feng Cai,et al. Blind motion deblurring from a single image using sparse approximation , 2009, CVPR.
[85] Tongtong Li,et al. Anti-Jamming Message-Driven Frequency Hopping—Part II: Capacity Analysis Under Disguised Jamming , 2013, IEEE Transactions on Wireless Communications.
[86] Aggelos K. Katsaggelos,et al. Bayesian Compressive Sensing Using Laplace Priors , 2010, IEEE Transactions on Image Processing.
[87] Bhaskar D. Rao,et al. Latent Variable Bayesian Models for Promoting Sparsity , 2011, IEEE Transactions on Information Theory.
[88] Vito Pascazio,et al. Inverse Profiling via an Effective Linearized Scattering Model and MRF Regularization , 2011, IEEE Geoscience and Remote Sensing Letters.
[89] Yonina C. Eldar,et al. Block-Sparse Signals: Uncertainty Relations and Efficient Recovery , 2009, IEEE Transactions on Signal Processing.
[90] Hong Sun,et al. Bayesian compressive sensing for cluster structured sparse signals , 2012, Signal Process..
[91] Junfeng Wang,et al. Minimum-entropy phase adjustment for ISAR , 2004 .
[92] R. Nowak,et al. Compressed Sensing for Networked Data , 2008, IEEE Signal Processing Magazine.
[93] Boualem Boashash,et al. Estimating and interpreting the instantaneous frequency of a signal. II. A/lgorithms and applications , 1992, Proc. IEEE.
[94] David B. Dunson,et al. Multitask Compressive Sensing , 2009, IEEE Transactions on Signal Processing.
[95] Bhaskar D. Rao,et al. Sparse Signal Recovery With Temporally Correlated Source Vectors Using Sparse Bayesian Learning , 2011, IEEE Journal of Selected Topics in Signal Processing.
[96] Lu Wang,et al. Hierarchical Sparse Signal Recovery by Variational Bayesian Inference , 2014, IEEE Signal Processing Letters.
[97] Jian Wang,et al. Generalized Orthogonal Matching Pursuit , 2011, IEEE Transactions on Signal Processing.
[98] S. Srinivasa,et al. The Throughput Potential of Cognitive Radio: A Theoretical Perspective , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.
[99] Nikos D. Sidiropoulos,et al. Estimating Multiple Frequency-Hopping Signal Parameters via Sparse Linear Regression , 2010, IEEE Transactions on Signal Processing.
[100] B. Jørgensen. Statistical Properties of the Generalized Inverse Gaussian Distribution , 1981 .
[101] Yonina C. Eldar,et al. Structured Compressed Sensing: From Theory to Applications , 2011, IEEE Transactions on Signal Processing.
[102] D.G. Tzikas,et al. The variational approximation for Bayesian inference , 2008, IEEE Signal Processing Magazine.
[103] Aleksandar Dogandzic,et al. A Max-Product EM Algorithm for Reconstructing Markov-Tree Sparse Signals From Compressive Samples , 2012, IEEE Transactions on Signal Processing.
[104] Philip Schniter,et al. Compressive Imaging Using Approximate Message Passing and a Markov-Tree Prior , 2010, IEEE Transactions on Signal Processing.
[105] Y. Pi,et al. Bayesian compressive sensing in synthetic aperture radar imaging , 2012 .
[106] Dmitriy Shutin,et al. 2 2 A ug 2 01 1 1 Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Models , 2011 .
[107] R.G. Baraniuk,et al. Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.
[108] A. Swami,et al. Blind high resolution localization and tracking of multiple frequency hopped signals , 2001 .
[109] Michel Barlaud,et al. Deterministic edge-preserving regularization in computed imaging , 1997, IEEE Trans. Image Process..
[110] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[111] George Eastman House,et al. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine , 2001 .
[112] Paco López-Dekker,et al. A Novel Strategy for Radar Imaging Based on Compressive Sensing , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[113] W. Clem Karl,et al. Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization , 2001, IEEE Trans. Image Process..
[114] P. P. Vaidyanathan,et al. MIMO Radar Ambiguity Properties and Optimization Using Frequency-Hopping Waveforms , 2008, IEEE Transactions on Signal Processing.
[115] R. DeVore,et al. A Simple Proof of the Restricted Isometry Property for Random Matrices , 2008 .
[116] Zheng Bao,et al. Weighted least-squares estimation of phase errors for SAR/ISAR autofocus , 1999, IEEE Trans. Geosci. Remote. Sens..
[117] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[118] Lawrence Carin,et al. Bayesian Compressive Sensing , 2008, IEEE Transactions on Signal Processing.
[119] Alan V. Oppenheim,et al. Discrete-time Signal Processing. Vol.2 , 2001 .
[120] T.-C. Chen,et al. Joint signal parameter estimation of frequency-hopping communications , 2012, IET Commun..
[121] Thomas Strohmer,et al. High-Resolution Radar via Compressed Sensing , 2008, IEEE Transactions on Signal Processing.
[122] Savo Glisic,et al. Advanced frequency hopping modulation for spread spectrum WLAN , 2000, IEEE Journal on Selected Areas in Communications.
[123] Lu Wang,et al. An Improved Auto-Calibration Algorithm Based on Sparse Bayesian Learning Framework , 2013, IEEE Signal Processing Letters.
[124] Bhaskar D. Rao,et al. Sparse channel estimation via matching pursuit with application to equalization , 2002, IEEE Trans. Commun..
[125] Yiyu Zhou,et al. Sparsity-Inducing Direction Finding for Narrowband and Wideband Signals Based on Array Covariance Vectors , 2013, IEEE Transactions on Wireless Communications.
[126] Yonina C. Eldar,et al. C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework , 2010, IEEE Transactions on Signal Processing.