搜索结果: 1-6 共查到“Sparse Recovery”相关记录6条 . 查询时间(0.064 秒)
NESTA: A FAST AND ACCURATE FIRST-ORDER METHOD FOR SPARSE RECOVERY
Nesterov’s method smooth approximations of nonsmooth functions `1 minimization duality in convex optimization continuation methods compressed sensing total-variation minimization
2015/6/17
Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the recent field of compressed sensing...
New SAR Interferogram denoising method via sparse recovery based on L0 norm
Interferogram filtering phase estimation sparse coding l0 minimization approximate message passing
2014/9/29
The goal of this paper is to estimate a denoised phase image from the observed noisy SAR interferogram. We proposed a linear model to obtain a sparse representation of the interferomteric phase image....
Guaranteed Sparse Recovery under Linear Transformation
Guaranteed Sparse Recovery Linear Transformation
2013/6/13
We consider the following signal recovery problem: given a measurement matrix $\Phi\in \mathbb{R}^{n\times p}$ and a noisy observation vector $c\in \mathbb{R}^{n}$ constructed from $c = \Phi\theta^* +...
This paper investigates universal polar coding schemes. In particular, a notion of ordering (called convolutional path) is introduced between probability distributions to determine when a polar compre...
Analyzing Weighted $\ell_1$ Minimization for Sparse Recovery with Nonuniform Sparse Models\footnote{The results of this paper were presented in part at the International Symposium on Information Theory, ISIT 2009}
Analyzing Weighted $\ell_1$ Minimization Sparse Recovery International Symposium Information Theory
2010/12/8
In this paper we introduce a nonuniform sparsity model and analyze the performance of an optimized weighted ℓ1 minimization over that sparsity model. In particular, we focus on a model where the...
Extended Range Profiling in Stepped-Frequency Radar with Sparse Recovery
Extended Range Profiling Stepped-Frequency Radar Sparse Recovery
2010/12/13
The newly emerging theory of compressed sensing
(CS) enables restoring a sparse signal from inadequate number of linear projections. Based on compressed sensing theory, a new algorithm of high-resolu...