Danielle M. Carmon

Works (1)

Updated: April 11th, 2023 10:13

2012 conference paper

Optimal estimation with arbitrary error metrics in compressed sensing

2012 IEEE Statistical Signal Processing Workshop (ssp), 588–591.

By: J. Tan n, D. Carmon n & D. Baron n 

TL;DR: This paper proposes a simple, fast, and general algorithm that estimates the original signal by minimizing an arbitrary error metric defined by the user, and describes a general method to compute the fundamental information-theoretic performance limit for any well-defined error metric. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.