Temporal compressive sensing systems
Abstract
Methods and systems for temporal compressive sensing are disclosed, where within each of one or more sensor array data acquisition periods, one or more sensor array measurement datasets comprising distinct linear combinations of time slice data are acquired, and where mathematical reconstruction allows for calculation of accurate representations of the individual time slice datasets.
- Inventors:
- Issue Date:
- Research Org.:
- Integrated Dynamic Electron Solutions, Inc., Pleasanton, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1632614
- Patent Number(s):
- 10571675
- Application Number:
- 16/233,597
- Assignee:
- Integrated Dynamic Electron Solutions, Inc. (Pleasanton, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01N - INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
G - PHYSICS G02 - OPTICS G02B - OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
- DOE Contract Number:
- SC0013104
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 12/27/2018
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Citation Formats
Reed, Bryan. Temporal compressive sensing systems. United States: N. p., 2020.
Web.
Reed, Bryan. Temporal compressive sensing systems. United States.
Reed, Bryan. Tue .
"Temporal compressive sensing systems". United States. https://www.osti.gov/servlets/purl/1632614.
@article{osti_1632614,
title = {Temporal compressive sensing systems},
author = {Reed, Bryan},
abstractNote = {Methods and systems for temporal compressive sensing are disclosed, where within each of one or more sensor array data acquisition periods, one or more sensor array measurement datasets comprising distinct linear combinations of time slice data are acquired, and where mathematical reconstruction allows for calculation of accurate representations of the individual time slice datasets.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {2}
}
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patent-application, February 2012
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