Recovery of piecewise finite-dimensional continuous signals by exploiting sparsity
暂无分享,去创建一个
[1] Ivan W. Selesnick,et al. Generalized Total Variation: Tying the Knots , 2015, IEEE Signal Processing Letters.
[2] Bang Công Vu,et al. A splitting algorithm for dual monotone inclusions involving cocoercive operators , 2011, Advances in Computational Mathematics.
[3] Mathews Jacob,et al. Recovery of Discontinuous Signals Using Group Sparse Higher Degree Total Variation , 2015, IEEE Signal Processing Letters.
[4] Nikos D. Sidiropoulos,et al. Estimating Multiple Frequency-Hopping Signal Parameters via Sparse Linear Regression , 2010, IEEE Transactions on Signal Processing.
[5] Nikos D. Sidiropoulos,et al. Stochastic Modeling and Particle Filtering Algorithms for Tracking a Frequency-Hopped Signal , 2009, IEEE Transactions on Signal Processing.
[6] René Vidal,et al. Block-Sparse Recovery via Convex Optimization , 2011, IEEE Transactions on Signal Processing.
[7] Junzhou Huang,et al. The Benefit of Group Sparsity , 2009 .
[8] Jean-Philippe Vert,et al. Group lasso with overlap and graph lasso , 2009, ICML '09.
[9] Babak Hassibi,et al. On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements , 2008, IEEE Transactions on Signal Processing.
[10] Michael Elad,et al. The Cosparse Analysis Model and Algorithms , 2011, ArXiv.
[11] Laurent Condat,et al. A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms , 2012, Journal of Optimization Theory and Applications.
[12] Michael Elad,et al. Analysis versus synthesis in signal priors , 2006, 2006 14th European Signal Processing Conference.
[13] A. Swami,et al. Blind high resolution localization and tracking of multiple frequency hopped signals , 2001 .
[14] B. R. Hunt,et al. Biased estimation for nonparametric identification of linear systems , 1971 .
[15] Yonina C. Eldar,et al. Block-Sparse Signals: Uncertainty Relations and Efficient Recovery , 2009, IEEE Transactions on Signal Processing.
[16] S. Twomey. The application of numerical filtering to the solution of integral equations encountered in indirect sensing measurements , 1965 .
[17] Arnold Neumaier,et al. Introduction to Numerical Analysis , 2001 .
[18] Francis R. Bach,et al. Structured Variable Selection with Sparsity-Inducing Norms , 2009, J. Mach. Learn. Res..
[19] Nikos D. Sidiropoulos,et al. Sparse Parametric Models for Robust Nonstationary Signal Analysis: Leveraging the Power of Sparse Regression , 2013, IEEE Signal Processing Magazine.
[20] Zafer Dogan,et al. Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach , 2015, IEEE Transactions on Signal Processing.
[21] Thierry Blu,et al. Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang–Fix , 2007, IEEE Transactions on Signal Processing.
[22] Laurent Condat,et al. Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation , 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[23] Shunsuke Ono,et al. Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting , 2013, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[24] R. Tibshirani. Adaptive piecewise polynomial estimation via trend filtering , 2013, 1304.2986.
[25] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[26] David L. Phillips,et al. A Technique for the Numerical Solution of Certain Integral Equations of the First Kind , 1962, JACM.
[27] Mohamed-Jalal Fadili,et al. Robust Sparse Analysis Regularization , 2011, IEEE Transactions on Information Theory.
[28] Sergey Bakin,et al. Adaptive regression and model selection in data mining problems , 1999 .
[29] Thierry Blu,et al. Sampling Piecewise Sinusoidal Signals With Finite Rate of Innovation Methods , 2010, IEEE Transactions on Signal Processing.
[30] M. Vetterli,et al. Sparse Sampling of Signal Innovations , 2008, IEEE Signal Processing Magazine.
[31] Stephen P. Boyd,et al. 1 Trend Filtering , 2009, SIAM Rev..
[32] Thierry Blu,et al. Sampling signals with finite rate of innovation , 2002, IEEE Trans. Signal Process..
[33] Masahiro Yukawa,et al. Multikernel Adaptive Filtering , 2012, IEEE Transactions on Signal Processing.
[34] Michael Elad,et al. Sparsity Based Methods for Overparametrized Variational Problems , 2014, SIAM J. Imaging Sci..
[35] Stephan Didas,et al. Splines in Higher Order TV Regularization , 2006, International Journal of Computer Vision.