搜索结果: 1-5 共查到“传感器技术 Compressed Sensing”相关记录5条 . 查询时间(0.078 秒)
Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising
Approximate Message Passing Lasso Group Lasso, Joint Sparsity, James- Stein, Minimax Risk over Nearly-Black Objects Minimax Risk of Soft Thresholding Minimax Risk of Firm Thresholding Minimax Shrinkage Nonconvex penalization State Evolution Total Variation Minimization Monotone Regression.
2015/8/21
Compressed sensing posits that, within limits, one can undersample a sparse signal and yet reconstruct it accurately. Knowing the precise limits to such undersampling is important both for theory and ...
Compressed Sensing MRI
Compressed Sensing MRI
2015/8/21
Compressed sensing (CS) aims to reconstruct signals and images from significantly fewer
measurements than were traditionally thought necessary. Magnetic Resonance Imaging (MRI) is
an essential...
Extensions of Compressed Sensing
Basis Pursuit Underdetermined Systems of Linear Equations
2015/8/21
We study the notion of Compressed Sensing (CS) as put forward in [14] and related work
[20, 3, 4]. The basic idea behind CS is that a signal or image, unknown but supposed to
be compressible by a kn...
Suppose x is an unknown vector in R
m (depending on context, a digital image or signal);
we plan to acquire data and then reconstruct. Nominally this ‘should’ require m samples. But
suppose we know...
Message-passing algorithms for compressed sensing
Compressed sensing high-dimensional signals the iterative threshold algorithm
2015/8/21
Compressed sensing aims to undersample certain high-dimensional signals yet accurately reconstruct them by exploiting signal characteristics. Accurate reconstruction is possible when the object to be ...