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28篇 您的检索式：作者名="ROMBERG Justin"

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	题名	作者	年代	出处	被引量
1	Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions显示文摘	Emmanuel J. Candes Justin Romberg	2006	Foundations of Computational Mathematics2006，，2：	2
2	Ro-bust uncertainty principles:exact signal reconstruction from highly incomplete frequency information 显示文摘	Emmanuel Candes Justin Romberg Terence Tao	2006	IEEE Transactions on Inform-ation Theory2006，52，2：	1
3	Sparse signal recovery for streaming signals using Ll-homotopy minimization 显示文摘	Salman Asif Justin Romberg	2013	IEEE Transactions on Signal Processing2013，62，16：	1
4	Ro- bust uncertainty prineiples: Exact signal reconstruction from highly incomplete frequency information 显示文摘	Emmanuel Candes Justin Romberg Terence Tao	2006	IEEE Transactions on Information Theory2006，52，2：	1
5	Robustuncertainty principles:Exact signal reconstruct-Ion fromhighly incomplete frequency information显示文摘	Emmanuel Candes Justin Romberg Terence Tao	2006	IEEE Transac-tions on Information Theory2006，52，2：	1
6	Compressive sensing by random convolution显示文摘	Justin Romberg	2009	SIAM Journal on Imaging Sciences2009，2，4：	1
7	Ro- bust uncertainty principles: exact signal reconstruction from highly incomplete frequency information 显示文摘	Emmanuel Candes Justin Romberg Terence Tao	2006	IEEE Transactions on Information Theory2006，52，2：	1
8	Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions显示文摘	Emmanuel J. Candes Justin Romberg	2006	Foundations of Computational Mathematics2006，，2：	1
9	Quantitative robust uncertainty principles and optimally sparse decompositions显示文摘	CANDES Emmanuel ROMBERG Justin		0，，02：	1
10	Robust un- certainty principles:exact signal reconstruction from highly incomplete frequency information 显示文摘	Emmanuel Candes Justin Romberg Terence Tao	2006	IEEE Transactions on Information Theory2006，52，2：	1
11	Robust uncertainty principles: Exact signal reconstruction from highly in- complete frequency information 显示文摘	Emmanuel Candes Justin Romberg Terence Tao	2006	Information Theory IEEE Transactions2006，52，2：	1
12	Beyond nyquist: Efficient sampling of sparse bandlimited signals显示文摘	Joel A Tropp Marco F Duarte Justin K Romberg Richard G Baraniuk	2010	IEEE Transactions on Information Theory2010，56，1：	1
13	Stable signal recovery from incomplete and inaccurate measurements 显示文摘	Emamnuel J Candes Justin Romberg Terence Tao	2006	Communications on pure and applied mathematics2006，59，8：	1
14	Bayesian tree-structured image modeling using wavelet-domain hidden Markov models显示文摘	Romberg Justin K Choi Hyeokho Baraniuk Richard G	2001	IEEE Transactions on Image Processing2001，10，7：	1
15	Sparsity and incoherence incompressive sampling显示文摘	Emmanuel Candes Justin Romberg	2007	Inverse IVoblem2007，23，3：	1
16	Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information显示文摘	Emmanuel Candes Justin Romberg Terence Tao	2006	IEEE Trans Inf Theory2006，52，：	1
17	Stable signal recovery from incomplete and inaccurate measurements 显示文摘	CANDES Emmanuel ROMBERG Justin TAO Terence	2006	Communications on Pure and Applied Mathematics2006，59，8：	1
18	Robust Un-certainty Principles : Exact Signal Reconstruction From Highly In-complete Frequency Information 显示文摘	Emmanuel J Candfes Justin Romberg Terence Tao	2006	IEEE Transactions on Infor-mation Theory2006，52，2：	1
19	Bayesian Tree-Structured Image Modeling Using Wavelet-Domain Hidden Markov Models 显示文摘	Justin K Romberg	2001	IEEE Transactions on Image Processing2001，10，7：	1
20	Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions显示文摘	Emmanuel J. Candes Justin Romberg	2006	Foundations of Computational Mathematics2006，，2：	1

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