Projection Matrix Optimization for Sparse Signals in Structured Noise
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Carlos H. Muravchik | Arye Nehorai | Sebastian Pazos | Martin Hurtado | A. Nehorai | C. Muravchik | Sebastian Pazos | M. Hurtado
[1] E.J. Candes. Compressive Sampling , 2022 .
[2] Di Wu,et al. Reachability analysis of uncertain systems using bounded-parameter Markov decision processes , 2008, Artif. Intell..
[3] A. Robert Calderbank,et al. Communications-Inspired Projection Design with Application to Compressive Sensing , 2012, SIAM J. Imaging Sci..
[4] Gongguo Tang,et al. Performance Analysis of Sparse Recovery Based on Constrained Minimal Singular Values , 2010, IEEE Transactions on Signal Processing.
[5] Kristine L. Bell,et al. A Bayesian approach to robust adaptive beamforming , 2000, IEEE Trans. Signal Process..
[6] Lijun Zhang,et al. Safety Verification for Probabilistic Hybrid Systems , 2010, Eur. J. Control.
[7] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[8] Calin Belta,et al. A probabilistic approach for control of a stochastic system from LTL specifications , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[9] Louis L. Scharf,et al. Signal processing applications of oblique projection operators , 1994, IEEE Trans. Signal Process..
[10] Mahesh Viswanathan,et al. Model-Checking Markov Chains in the Presence of Uncertainties , 2006, TACAS.
[11] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[12] Radha Jagadeesan,et al. Metrics for labelled Markov processes , 2004, Theor. Comput. Sci..
[13] Stephan Merz,et al. Model Checking , 2000 .
[14] Paulo Tabuada,et al. Linear Time Logic Control of Discrete-Time Linear Systems , 2006, IEEE Transactions on Automatic Control.
[15] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[16] P. Stoica,et al. On the concentrated stochastic likelihood function in array signal processing , 1995 .
[17] George J. Pappas,et al. Approximations of Stochastic Hybrid Systems , 2009, IEEE Transactions on Automatic Control.
[18] Taolue Chen,et al. On the complexity of model checking interval-valued discrete time Markov chains , 2013, Inf. Process. Lett..
[19] C. Belta,et al. Formal analysis of Piecewise Affine systems under parameter uncertainty with application to gene networks , 2008, 2008 American Control Conference.
[20] Calin Belta,et al. A Fully Automated Framework for Control of Linear Systems from Temporal Logic Specifications , 2008, IEEE Transactions on Automatic Control.
[21] Carlos H. Muravchik,et al. Enhanced Sparse Bayesian Learning via Statistical Thresholding for Signals in Structured Noise , 2013, IEEE Transactions on Signal Processing.
[22] Robert Givan,et al. Bounded-parameter Markov decision processes , 2000, Artif. Intell..
[23] Alexandros G. Dimakis,et al. Optimal deterministic compressed sensing matrices , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[24] Jie Chen,et al. Theoretical Results on Sparse Representations of Multiple-Measurement Vectors , 2006, IEEE Transactions on Signal Processing.
[25] John Lygeros,et al. Bisimulation for General Stochastic Hybrid Systems , 2005, HSCC.
[26] Alessandro Abate,et al. Formula-free finite abstractions for linear temporal verification of stochastic hybrid systems , 2013, HSCC '13.
[27] Eric Vanden-Eijnden,et al. Markovian milestoning with Voronoi tessellations. , 2009, The Journal of chemical physics.
[28] S. Shankar Sastry,et al. Markov Set-Chains as Abstractions of Stochastic Hybrid Systems , 2008, HSCC.
[29] M. Hurtado,et al. Sparse modeling for polarimetric radar , 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).
[30] Carlos H. Muravchik,et al. Electromagnetic source imaging for sparse cortical activation patterns , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[31] L. M. Bujorianu,et al. Approximate Abstractions of Stochastic Hybrid Systems , 2008 .
[32] Martin Leucker,et al. Don't Know in Probabilistic Systems , 2006, SPIN.
[33] David P. Wipf,et al. A New View of Automatic Relevance Determination , 2007, NIPS.
[34] Bhaskar D. Rao,et al. Sparse Bayesian learning for basis selection , 2004, IEEE Transactions on Signal Processing.
[35] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[36] Joost-Pieter Katoen,et al. Approximate Model Checking of Stochastic Hybrid Systems , 2010, Eur. J. Control.
[37] Aleksandar Dogandzic,et al. Double overrelaxation thresholding methods for sparse signal reconstruction , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).
[38] Bhaskar D. Rao,et al. An affine scaling methodology for best basis selection , 1999, IEEE Trans. Signal Process..
[39] S. Kay,et al. Optimal Signal Design for Detection of Gaussian Point Targets in Stationary Gaussian Clutter/Reverberation , 2007, IEEE Journal of Selected Topics in Signal Processing.
[40] Simon Haykin,et al. A coherent dual-polarized radar for studying the ocean environment , 1991, IEEE Trans. Geosci. Remote. Sens..
[41] Lev V. Utkin,et al. Computing System Reliability Given Interval-Valued Characteristics of the Components , 2005, Reliab. Comput..
[42] Calin Belta,et al. MDP optimal control under temporal logic constraints , 2011, IEEE Conference on Decision and Control and European Control Conference.
[43] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[44] Michael Elad,et al. Optimized Projections for Compressed Sensing , 2007, IEEE Transactions on Signal Processing.
[45] Yonina C. Eldar,et al. Sensing Matrix Optimization for Block-Sparse Decoding , 2010, IEEE Transactions on Signal Processing.
[46] James Worrell,et al. An Algorithm for Quantitative Verification of Probabilistic Transition Systems , 2001, CONCUR.
[47] D.R. Fuhrmann. One-step optimal measurement selection for linear gaussian estimation problems , 2007, 2007 International Waveform Diversity and Design Conference.
[48] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[49] Bengt Jonsson,et al. A logic for reasoning about time and reliability , 1990, Formal Aspects of Computing.
[50] T. Henzinger,et al. Model-Checking ω-Regular Properties of Interval Markov Chains , 2008 .
[51] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[52] Calin Belta,et al. Approximate Markovian abstractions for linear stochastic systems , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[53] Henrik Ejersbo Jensen,et al. Reachability Analysis of Probabilistic Systems by Successive Refinements , 2001, PAPM-PROBMIV.
[54] Calin Belta,et al. Temporal Logic Motion Planning and Control With Probabilistic Satisfaction Guarantees , 2012, IEEE Transactions on Robotics.
[55] Marta Z. Kwiatkowska,et al. Probabilistic symbolic model checking with PRISM: a hybrid approach , 2004, International Journal on Software Tools for Technology Transfer.
[56] Justin Ziniel,et al. Fast bayesian matching pursuit , 2008, 2008 Information Theory and Applications Workshop.
[57] Lijun Zhang,et al. Game-based Abstraction and Controller Synthesis for Probabilistic Hybrid Systems , 2011, 2011 Eighth International Conference on Quantitative Evaluation of SysTems.
[58] H. Vincent Poor,et al. Measurement Matrix Design for Compressive Sensing–Based MIMO Radar , 2011, IEEE Transactions on Signal Processing.
[59] Improving detection performance of compressed sensing by orthogonal projection , 2013, 2013 14th International Radar Symposium (IRS).
[60] George J. Pappas,et al. Discrete abstractions of hybrid systems , 2000, Proceedings of the IEEE.
[61] Calin Belta,et al. Formal Analysis of Discrete-Time Piecewise Affine Systems , 2010, IEEE Transactions on Automatic Control.
[62] Joost-Pieter Katoen,et al. The Ins and Outs of the Probabilistic Model Checker MRMC , 2009, 2009 Sixth International Conference on the Quantitative Evaluation of Systems.
[63] Farrokh Marvasti,et al. Deterministic Construction of Binary, Bipolar, and Ternary Compressed Sensing Matrices , 2009, IEEE Transactions on Information Theory.
[64] E. Krogager. New decomposition of the radar target scattering matrix , 1990 .
[65] Guillermo Sapiro,et al. Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization , 2009, IEEE Transactions on Image Processing.
[66] Kaare Brandt Petersen,et al. The Matrix Cookbook , 2006 .
[67] Joost-Pieter Katoen,et al. Three-Valued Abstraction for Continuous-Time Markov Chains , 2007, CAV.
[68] Arye Nehorai,et al. Polarimetric Detection of Targets in Heavy Inhomogeneous Clutter , 2008, IEEE Transactions on Signal Processing.
[69] Kim Guldstrand Larsen,et al. Specification and refinement of probabilistic processes , 1991, [1991] Proceedings Sixth Annual IEEE Symposium on Logic in Computer Science.
[70] Arjan van der Schaft,et al. Bisimulation for Communicating Piecewise Deterministic Markov Processes (CPDPs) , 2005, HSCC.
[71] Gang Li,et al. Projection matrix optimization for block-sparse compressive sensing , 2013, 2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013).
[72] Guillermo Sapiro,et al. Adapted statistical compressive sensing: Learning to sense gaussian mixture models , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[73] Damjan Skulj,et al. Discrete time Markov chains with interval probabilities , 2009, Int. J. Approx. Reason..
[74] Alessandro Abate,et al. Adaptive Gridding for Abstraction and Verification of Stochastic Hybrid Systems , 2011, 2011 Eighth International Conference on Quantitative Evaluation of SysTems.
[75] Joost-Pieter Katoen,et al. Three-valued abstraction for probabilistic systems , 2012, J. Log. Algebraic Methods Program..
[76] Sungyoung Lee,et al. Efficient Projection for Compressed Sensing , 2008, Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008).
[77] Joost-Pieter Katoen,et al. Quantitative automata model checking of autonomous stochastic hybrid systems , 2011, HSCC '11.