搜索结果: 1-5 共查到“理学 Sparse Signals”相关记录5条 . 查询时间(0.046 秒)
Reconstructing Structured Sparse Signals from Compressive Samples via a Max-Product EM Algorithm
Belief propagation expectation maximization (EM) algorithm hidden Markovtree(HMT) max-productalgo-rithm,structured sparsity,sparse signal reconstruction.
2012/11/22
We propose a Bayesian expectation-maximization (EM) algorithm for reconstructing structured approximately sparse signals via belief propagation. The measurements follow an underdetermined linear model...
Sparse approximation property and stable recovery of sparse signals from noisy measurements
Sparse approximation property noisy measurements Information Theory
2011/9/21
Abstract: In this paper, we introduce a sparse approximation property of order $s$ for a measurement matrix ${\bf A}$: $$\|{\bf x}_s\|_2\le D \|{\bf A}{\bf x}\|_2+ \beta \frac{\sigma_s({\bf x})}{\sqrt...
Measurement Design for Detecting Sparse Signals
Sparse Signals Information Theory Measurement Design
2011/8/31
Abstract: We consider the problem of testing for the presence (or detection) of an unknown sparse signal in additive white noise. Given a fixed measurement budget, much smaller than the dimension of t...
Stable Restoration and Separation of Approximately Sparse Signals
Sparse signal recovery signal restoration signal separation deterministic recovery guarantee,
2011/8/23
Abstract: This paper develops new theory and algorithms to recover signals that are approximately sparse in some general (i.e., basis, frame, over-complete, or in-complete) dictionary but corrupted by...
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
High-dimensional sparse model unknown sigma conic programming
2010/12/16
We propose a pivotal method for estimating high-dimensional sparse linear re-gression models, where the overall number of regressors p is large, possibly much larger than n, but only s regressors are ...