Real-time Algorithms for Sparse Neuronal System Identification
暂无分享,去创建一个
[1] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[2] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[3] Emery N. Brown,et al. Estimating a State-space Model from Point Process Observations Emery N. Brown , 2022 .
[4] Michael A. Saunders,et al. Atomic Decomposition by Basis Pursuit , 1998, SIAM J. Sci. Comput..
[5] N. Meinshausen,et al. High-dimensional graphs and variable selection with the Lasso , 2006, math/0608017.
[6] J. Fritz,et al. Active listening: Task-dependent plasticity of spectrotemporal receptive fields in primary auditory cortex , 2005, Hearing Research.
[7] Vahid Tarokh,et al. An Adaptive Greedy Algorithm With Application to Nonlinear Communications , 2010, IEEE Transactions on Signal Processing.
[8] Shihab A. Shamma,et al. Recursive Sparse Point Process Regression With Application to Spectrotemporal Receptive Field Plasticity Analysis , 2015, IEEE Transactions on Signal Processing.
[9] 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.
[10] Vahid Tarokh,et al. SPARLS: The Sparse RLS Algorithm , 2010, IEEE Transactions on Signal Processing.
[11] Alexandru Onose,et al. Greedy Sparse RLS , 2012, IEEE Transactions on Signal Processing.
[12] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[13] Olgica Milenkovic,et al. Subspace Pursuit for Compressive Sensing Signal Reconstruction , 2008, IEEE Transactions on Information Theory.
[14] Vahid Tarokh,et al. Adaptive algorithms for sparse system identification , 2011, Signal Process..