ScholarIQanswers from OpenAlex
Sparse and Compressive Sensing Techniques
TopicLeading institutions, researchers & key papers
Sparse and Compressive Sensing Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about Sparse and Compressive Sensing Techniques?
ScholarIQrecord summary
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.
How many works does Sparse and Compressive Sensing Techniques have?
ScholarIQindexed works
Sparse and Compressive Sensing Techniques has 52 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Sparse and Compressive Sensing Techniques?
ScholarIQopenalex
The OpenAlex for Sparse and Compressive Sensing Techniques is on the source record.
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
A Simple Proof of the Restricted Isometry Property for Random Matrices
Richard G. Baraniuk, Mark A. Davenport, Ronald DeVore, Michael B. Wakin
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro
Online dictionary learning for sparse coding
Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro
Sparse Representation for Computer Vision and Pattern Recognition
John Wright, Yi Ma, Julien Mairal, Guillermo Sapiro, Thomas S. Huang, Shuicheng Yan
Where is Sparse and Compressive Sensing Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Sparse and Compressive Sensing Techniques is open access?
ScholarIQopen access share
47%OPEN ACCESS