Kalman filtering for compressed sensing
暂无分享,去创建一个
Tara N. Sainath | Bhuvana Ramabhadran | Pini Gurfil | Dimitri Kanevsky | Lior Horesh | Avishy Carmi | D. Kanevsky | B. Ramabhadran | A. Carmi | P. Gurfil | L. Horesh | Avishy Carmi
[1] K. Jarrod Millman,et al. Learning Sparse Codes with a Mixture-of-Gaussians Prior , 1999, NIPS.
[2] E. George,et al. APPROACHES FOR BAYESIAN VARIABLE SELECTION , 1997 .
[3] Lawrence Carin,et al. Bayesian Compressive Sensing , 2008, IEEE Transactions on Signal Processing.
[4] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[5] Pini Gurfil,et al. Methods for Sparse Signal Recovery Using Kalman Filtering With Embedded Pseudo-Measurement Norms and Quasi-Norms , 2010, IEEE Transactions on Signal Processing.
[6] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[7] Terence Tao,et al. The Dantzig selector: Statistical estimation when P is much larger than n , 2005, math/0506081.
[8] Rick Chartrand,et al. Exact Reconstruction of Sparse Signals via Nonconvex Minimization , 2007, IEEE Signal Processing Letters.
[9] D. Holder,et al. Large-Scale Non-Linear 3D Reconstruction Algorithms for Electrical Impedance Tomography of the Human Head , 2007 .
[10] Peter Boesiger,et al. Compressed sensing in dynamic MRI , 2008, Magnetic resonance in medicine.
[11] George Eastman House,et al. Sparse Bayesian Learning and the Relevance Vector Machine , 2001 .
[12] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[13] E.J. Candes. Compressive Sampling , 2022 .
[14] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[15] J. Geweke,et al. Variable selection and model comparison in regression , 1994 .
[16] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[17] Y. C. Pati,et al. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
[18] Sheng Chen,et al. Orthogonal least squares methods and their application to non-linear system identification , 1989 .
[19] Stéphane Mallat,et al. Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..
[20] Simon J. Godsill,et al. Bayesian modelling of time-frequency coefficients for audio signal enhancement , 2003 .