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Bioelectric sources estimation using spatio-temporal matching pursuit
A. B. Geva
School of Electrical and Computer Engineering
Research output
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Contribution to journal
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Article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Bioelectric sources estimation using spatio-temporal matching pursuit'. Together they form a unique fingerprint.
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Keyphrases
Bioelectricity
100%
Source Estimation
100%
Temporal Matching
100%
Matching Pursuit
100%
Exhaustive Search
66%
Matching Pursuit Algorithms
66%
Three-dimensional (3D)
33%
Spatiotemporal
33%
Inverse Problem
33%
Source Localization
33%
Visual Evoked Potentials
33%
Feasible Solution
33%
Physiological Constraints
33%
Spatiotemporal Characteristics
33%
MRI Data
33%
Wave Form
33%
Non-uniform Grid
33%
Temporal Activity Patterns
33%
Data Constraints
33%
Temporal Waveform
33%
Spatiotemporal Decomposition
33%
Time-frequency Dictionary
33%
Data Visualization
33%
Bioelectrical Activity
33%
Multiple Source Estimation
33%
Multichannel Signal
33%
Computer Science
Matching Pursuit
100%
Exhaustive Search
66%
Pursuit Algorithm
66%
Feasible Solution
33%
Source Localization
33%
Inverse Problem
33%
Temporal Characteristic
33%
Data Constraint
33%