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Title: 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:
1413223
Patent Number(s):
9841592
Application Number:
15/243,235
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: 2016 Aug 22
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Reed, Bryan W. Temporal compressive sensing systems. United States: N. p., 2017. Web.
Reed, Bryan W. Temporal compressive sensing systems. United States.
Reed, Bryan W. Tue . "Temporal compressive sensing systems". United States. https://www.osti.gov/servlets/purl/1413223.
@article{osti_1413223,
title = {Temporal compressive sensing systems},
author = {Reed, Bryan W.},
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 = {Tue Dec 12 00:00:00 EST 2017},
month = {Tue Dec 12 00:00:00 EST 2017}
}

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