Sampling and recovery of continuous sparse signals by maximum likelihood estimation
暂无分享,去创建一个
Laurent Condat | Akira Hirabayashi | Yosuke Hironaga | Laurent Condat | A. Hirabayashi | Yosuke Hironaga
[1] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[2] Akira Hirabayashi,et al. Reconstruction of the sequence of Diracs from noisy samples via maximum likelihood estimation , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[3] Srinivasan Umesh,et al. Estimation of parameters of exponentially damped sinusoids using fast maximum likelihood estimation with application to NMR spectroscopy data , 1996, IEEE Trans. Signal Process..
[4] Akira Hirabayashi. Sampling and Reconstruction of Periodic Piecewise Polynomials Using Sinc Kernel , 2012, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..
[5] Thierry Blu,et al. Sampling signals with finite rate of innovation , 2002, IEEE Trans. Signal Process..
[6] Michael B. Wakin,et al. An Introduction To Compressive Sampling [A sensing/sampling paradigm that goes against the common knowledge in data acquisition] , 2008 .
[7] Joseph Tabrikian,et al. Non-Bayesian Periodic Cramér-Rao Bound , 2013, IEEE Transactions on Signal Processing.
[8] Thierry Blu,et al. Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang–Fix , 2007, IEEE Transactions on Signal Processing.
[9] Arthur Albert,et al. Regression and the Moore-Penrose Pseudoinverse , 2012 .
[10] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[11] M. Vetterli,et al. Sparse Sampling of Signal Innovations , 2008, IEEE Signal Processing Magazine.
[12] Yonina C. Eldar,et al. Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging , 2010, IEEE Transactions on Signal Processing.
[13] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[14] Pedro M. Crespo,et al. A new stochastic algorithm inspired on genetic algorithms to estimate signals with finite rate of innovation from noisy samples , 2010, Signal Process..
[15] Thierry Blu,et al. Sampling Piecewise Sinusoidal Signals With Finite Rate of Innovation Methods , 2010, IEEE Transactions on Signal Processing.
[16] T. Blumensath,et al. Theory and Applications , 2011 .
[17] Vivek K. Goyal,et al. Estimating Signals With Finite Rate of Innovation From Noisy Samples: A Stochastic Algorithm , 2007, IEEE Transactions on Signal Processing.
[18] James A. Cadzow,et al. Signal enhancement-a composite property mapping algorithm , 1988, IEEE Trans. Acoust. Speech Signal Process..