Back to Results
First PageMeta Content
Compressed sensing / Information theory / Estimation theory / Normal distribution / Signal processing / Statistics / Matching pursuit


MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com On the theoretical analysis of cross validation in compressive sensing
Add to Reading List

Document Date: 2015-04-17 10:03:49

Open Document

File Size: 220,25 KB

Share Result on Facebook

City

Madrid / Cambridge / /

Company

Let Ag / Digital Communications Tsinghua National Laboratory / Mitsubishi Electric Research Laboratories Inc. / State Key Laboratory / CRC Press / /

Country

United States / China / /

/

Facility

Hall International Englewood Cliffs / Tsinghua University / /

IndustryTerm

reconstruction algorithms / sparsity-robust greedy recovery algorithm / greedy algorithms / greedy algorithm / greedy sparse recovery algorithms / omp-cv algorithm / be reconstructed using greedy algorithms / /

OperatingSystem

Petros / /

Organization

Information Science and Technology Department of Electronic Engineering / National Natural Science Foundation of China / vol. / International Congress / American Statistical Association / Tsinghua University / Beijing / /

Person

Jun Shao / Mark Rudelson / Roman Vershynin / David L Donoho / Joel A Tropp / Marco F Duarte / Deanna Needell / Olgica Milenkovic / Emmanuel J Candes / Anna C Gilbert / Justin Romberg / Richard G Baraniuk / Richard R Picard / Wei Dai / Dennis Cook / Petros Boufounos / Josef Kittler / Pierre A Devijver / Emmanuel J Cand`es / Terence Tao / Ron Kohavi / Rachel Ward / /

Position

corresponding author / /

ProvinceOrState

Massachusetts / /

PublishedMedium

Journal of the American Statistical Association / /

Technology

greedy recovery algorithm / CS-based reconstruction algorithms / greedy algorithm / OMP-CV algorithm / Microwave / OMP algorithm / simulation / Algorithm Description The OMP-CV algorithm / greedy sparse recovery algorithms / /

URL

http /

SocialTag