Search Results for author:
Found 1 papers, 0 papers with code
A data-driven approach to sampling matrix selection for compressive sensing
We propose a method for defining an order for a sampling basis that is optimal with respect to capturing variance in data, thus allowing for meaningful sensing at any desired level of compression.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
