Compressed Sensing Dataset

The dataset used in the paper is a compressed sensing problem – under-determined sparse recovery from linear Gaussian random measurements.

Data and Resources

Cite this as

Seung-Jean Kim, K. Koh, M. Lustig, S. Boyd, D. Gorinevsky (2024). Dataset: Compressed Sensing Dataset. https://doi.org/10.57702/xttriier

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2005.13531
Citation
  • https://doi.org/10.48550/arXiv.1006.4990
Author Seung-Jean Kim
More Authors
K. Koh
M. Lustig
S. Boyd
D. Gorinevsky
Homepage https://github.com/kellman/physics_based_learning