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18篇 您的检索式:作者名="Candfes E"
    题名 作者 年代 出处 被引量
1The restricted isometry property and its impli-cations for compressed sensing显示文摘Candfes E J 2008Comptes Rendus Math-ematique2008,346,89:1
2Near optimal signal recovery from random pro-jections :universal encoding strategies? 显示文摘Candfes E Tao T 2006IEEE Transactionson Information Theory2006,52,12:1
3The restricted isometry property and its impli-cations for compressed sensing显示文摘Candfes E J 2008Comptes Rendus Math-ematique2008,346,89:1
4Stable signal recovery fromincomplete and inaccurate measurements显示文摘Candfes E J Romberg J Tao T 2006Comm PureAppl Math2006,59,8:1
5Near-optimal signal recovery fromrandom projections: Universal encoding strategies显示文摘Candfes E J Tao T 2006IEEE Trans Inf Theory2006,52,12:1
6Stable signal recovery fromincomplete and inaccurate measurements显示文摘Candfes E J Romberg J Tao T 2006Comm PureAppl Math2006,59,8:1
7Near-optimal signal recovery fromrandom projections: Universal encoding strategies显示文摘Candfes E J Tao T 2006IEEE Trans Inf Theory2006,52,12:1
8Robust Uncertainty prin?ciples: Exact Signal Reconstruction from Highly Incomplete Frequency Information 显示文摘CANDFS E ROMBERG J TAO T 2006IEEE Transactions on Inforrration Theory2006,52,2:1
9Robust uncertainty principles:exact signal reconstruction from highly incomplete frequency information显示文摘Candfes E J Romberg J Tao T 2006Information Theory IEEE Transactions on2006,52,2:1
10An Introduction to Compressive Sampling显示文摘CANDFS E WAKIN M 2008IEEE Signal Processing Magazine2008,25,2:1
11New Tight Frames of Curveletsand Optimal Representations of Objects with Piecewise C2Singularities显示文摘Candfes E J Donoho D L 2004Communication on Pure and AppliedMathematics2004,57,2:1
12The Dantzig Selector: Statistical Esti?mation When p Is Much Larger than n显示文摘CANDFS E TAO T 2007Annals of Sta?tistics2007,35,6:1
13An Introduction to Corrpres s ive Sampling 显示文摘CANDFS E W AKIN M 2008IEEE Signal Processing Magazine2008,25,2:1
14Compressive Sampling显示文摘CANDfeS E 2006Proceedings of the International Congress of Mathematicians2006,,03:1
15Stable signal recoveryfrom incomplete and inaccurate measurements显示文摘CANDfeS E J ROMBERG J K TAO T 2006Communicationson Pure and Applied Mathematics2006,59,8:1
16Compressive Sampling显示文摘Candfes E J 2006Marta Sanz Sol62006,17,2:1
17Robust uncertainty princi-ples: exact signal reconstruction from highly incomplete fre- quency information 显示文摘Candfes E J Romberg J Tao T 2004IEEE Transactions on Information Theory2004,52,2:1
18Near optimal signal recovery from randomprojections:universal encoding strategies显示文摘CANDfeS E TAO T 2006IEEE Transac-tions on Information Theory2006,52,12:1
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