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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 G02 - OPTICS G02B - OPTICAL ELEMENTS, SYSTEMS, OR APPARATUS
H - ELECTRICITY H01 - BASIC ELECTRIC ELEMENTS H01J - ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
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 = {2017},
month = {12}
}

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Works referenced in this record:

Streaming Compressive Sensing for high-speed periodic videos
conference, December 2010


Compressive Sensing [Lecture Notes]
journal, August 2007


From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
journal, February 2009


Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
journal, January 2006


Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
journal, February 2006


Sparsity and incoherence in compressive sampling
journal, April 2007


Stable signal recovery from incomplete and inaccurate measurements
journal, January 2006

  • Candès, Emmanuel J.; Romberg, Justin K.; Tao, Terence
  • Communications on Pure and Applied Mathematics, Vol. 59, Issue 8, p. 1207-1223
  • https://doi.org/10.1002/cpa.20124

Compressed Sensing Vs. Active Learning
conference, July 2006


Adaptive compressed sensing- A new class of self-organizing coding models for neuroscience
conference, June 2010


For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution
journal, January 2006


Kronecker Compressive Sensing
journal, February 2012


Single-pixel imaging via compressive sampling
journal, March 2008


Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
conference, November 2007


Compressive Structured Light for Recovering Inhomogeneous Participating Media
conference, January 2008


Sparse poisson intensity reconstruction algorithms
conference, October 2009


A User's Guide to Compressed Sensing for Communications Systems
journal, March 2013


Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
journal, December 2014


Bayesian Compressive Sensing
journal, June 2008


Dictionary Learning Algorithms for Sparse Representation
journal, February 2003


Coded aperture compressive temporal imaging
journal, January 2013


Compressed sensing with off-axis frequency-shifting holography
journal, January 2010


Nonparametric factor analysis with beta process priors
conference, January 2009


Efficient phase contrast imaging in STEM using a pixelated detector. Part 1: Experimental demonstration at atomic resolution
journal, April 2015


Total Variation Processing of Images with Poisson Statistics
book, January 2009


RELION: Implementation of a Bayesian approach to cryo-EM structure determination
journal, December 2012


Compressive video sensors using multichannel imagers
journal, January 2010


Learning sparse representations for adaptive compressive sensing
conference, August 2012


Applying compressive sensing to TEM video: a substantial frame rate increase on any camera
journal, August 2015


A new compressive imaging camera architecture using optical-domain compression
conference, February 2006

  • Takhar, Dharmpal; Laska, Jason N.; Wakin, Michael B.
  • Proceedings Volume 6065, Computational Imaging IV (2006) , Vol. 6065, Article No: 606509
  • https://doi.org/10.1117/12.659602

Coded Aperture Compressive Spectral-Temporal Imaging
conference, June 2015

  • Tsai, Tsung-Han; Llull, Patrick; Yuan, Xin
  • Imaging and Applied Optics 2015, OSA Technical Digest (online) (Optical Society of America, 2015), Article No: CTh2E.5.
  • https://doi.org/10.1364/COSI.2015.CTh2E.5

Single disperser design for coded aperture snapshot spectral imaging
journal, January 2008


Video rate spectral imaging using a coded aperture snapshot spectral imager
journal, January 2009


Compressed sensing for practical optical imaging systems: a tutorial
journal, July 2011


Performance bounds on compressed sensing with Poisson noise
conference, August 2009


Video Compressive Sensing Using Gaussian Mixture Models
journal, November 2014


Compressive confocal microscopy
conference, May 2009


Adaptive temporal compressive sensing for video
conference, February 2013


Low-Cost Compressive Sensing for Color Video and Depth
conference, September 2014


Nonparametric Bayesian Dictionary Learning for Analysis of Noisy and Incomplete Images
journal, January 2012