Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques is a topic indexed in ScholarIQ from OpenAlex.

What is known about Sparse and Compressive Sensing Techniques?

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?

Sparse and Compressive Sensing Techniques has 57,884 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Sparse and Compressive Sensing Techniques have?

Sparse and Compressive Sensing Techniques has 1,334,366 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Sparse and Compressive Sensing Techniques?

The OpenAlex for Sparse and Compressive Sensing Techniques is on the source record.

Who are the most-cited researchers behind Sparse and Compressive Sensing Techniques?

Where is Sparse and Compressive Sensing Techniques research published, and who funds it?