Published April 2016
| public
Journal Article
Data-driven atomic decomposition via frequency extraction of intrinsic mode functions
Abstract
Decomposition of functions in terms of their primary building blocks is one of the most fundamental problems in mathematical analysis and its applications. Indeed, atomic decomposition of functions in the Hardy space H^p for 0
Additional Information
© 2016 Springer-Verlag Berlin Heidelberg. Received: 1 December 2015; Accepted: 22 December 2015; Published online: 9 January 2016. The research of the first two authors is supported in part by Grant W911NF-15-1-0385 from the U. S. Army Research Office.Additional details
- Eprint ID
- 68885
- Resolver ID
- CaltechAUTHORS:20160707-100242858
- W911NF-15-1-0385
- Army Research Office (ARO)
- Created
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2016-07-07Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field