Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex
Sparse and Compressive Sensing Techniques
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the theory and applications of compressed sensing, including sparse representation, signal recovery, convex optimization, matrix completion, dictionary learning, orthogonal matching pursuit, robust reconstruction, and sparsity in signal processing.
52
Works
IDs:OpenAlex
How has Sparse and Compressive Sensing Techniques's publication output changed over time?
ScholarIQpublication output · 2007–2017
Output grew0% over the shown period — from 1 works in 2007 to 1 in 2017.
1
3
1
5
1
1
1
1
1
200720082009201020112012201320162017
What are the most-cited papers on Sparse and Compressive Sensing Techniques?
ScholarIQmost cited works
Single-pixel imaging via compressive sampling
Marco F. Duarte, Mark A. Davenport, Dharmpal Takhar, Jason N. Laska, Ting Sun, Kevin F. Kelly, Richard G. Baraniuk
S120977877. 20083,584 Citations
A Simple Proof of the Restricted Isometry Property for Random Matrices
Richard G. Baraniuk, Mark A. Davenport, Ronald DeVore, Michael B. Wakin
S35440848. 20082,446 Citations
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro
20102,344 CitationsOPEN ACCESS
Online dictionary learning for sparse coding
Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro
20092,139 CitationsOPEN ACCESS
Sparse Representation for Computer Vision and Pattern Recognition
John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan
S68686220. 20101,876 Citations
Where is Sparse and Compressive Sensing Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S1209778773,584
S354408482,446
S686862201,876
S421677831,367
S4502562533
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Sparse and Compressive Sensing Techniques is open access?
ScholarIQopen access share
47%OPEN ACCESS
Gold
0%
Green
27%
Hybrid
0%
Bronze
20%
Closed
53%
Related on ScholarIQ
Regularization Paths for Generalized Linear Models via Coordinate Descent
Paper
Single-pixel imaging via compressive sampling
Paper
A Simple Proof of the Restricted Isometry Property for Random Matrices
Paper
Online Learning for Matrix Factorization and Sparse Coding
Paper
Online dictionary learning for sparse coding
Paper
Sparse Representation for Computer Vision and Pattern Recognition
Paper