Journal article
Biological algorithm for data reconstruction
Physical review. E, Statistical, nonlinear, and soft matter physics, v 81(3), pp 036217-036217
01 Mar 2010
PMID: 20365842
Abstract
An algorithm inspired by Genome sequencing is proposed which "reconstructs" a single long trajectory of a dynamical system from many short trajectories. This procedure is useful in situations when many data sets are available but each is insufficiently long to apply a meaningful analysis directly. The algorithm is applied to the Rssler and Lorenz dynamical systems as well as to experimental data taken from the Belousov-Zhabotinskii chemical reaction. Topological information was reliably extracted from each system and geometrical and dynamical measures were computed.
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Details
- Title
- Biological algorithm for data reconstruction
- Creators
- Daniel J. Cross - Drexel UniversityRyan Michaluk - Drexel UniversityRobert Gilmore - Drexel University
- Publication Details
- Physical review. E, Statistical, nonlinear, and soft matter physics, v 81(3), pp 036217-036217
- Publisher
- Amer Physical Soc
- Number of pages
- 8
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000276199400042
- Scopus ID
- 2-s2.0-77950115800
- Other Identifier
- 991019167818004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Physics, Fluids & Plasmas
- Physics, Mathematical