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Multidimensional image reconstruction in astronomy
Farzad Kamalabadi
Electrical and Computer Engineering
Statistics
Coordinated Science Lab
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peer-review
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Dive into the research topics of 'Multidimensional image reconstruction in astronomy'. Together they form a unique fingerprint.
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Keyphrases
Image Reconstruction
100%
Astronomy
100%
Multi-dimensional Images
100%
Inverse Problem
50%
Response Function
50%
Image Formation
50%
Unified Approach
50%
Reconstruction Problem
50%
Electromagnetic Radiation
50%
Noise Theory
50%
Linear Systems
50%
Feasible Solution
50%
Additive White Gaussian Noise
50%
Unknown Fields
50%
Incomplete Data
50%
Regularization Theory
50%
Variational Formulation
50%
Multiple Sensors
50%
Common Challenges
50%
Statistical Formulation
50%
Gaussian Regularization
50%
Linear Observation Model
50%
Inverse Imaging Problems
50%
Spatial-temporal Assessment
50%
Computer Science
Image Reconstruction
100%
Inverse Problem
50%
Gaussian White Noise
50%
Linear Systems
50%
Reconstruction Problem
50%
Image Formation
50%
Response Function
50%
Feasible Solution
50%
Multiple Sensor
50%
Multiple Perspective
50%
Gaussian Regularization
50%
Mathematics
Gaussian Distribution
100%
Regularization
100%
Linear System
100%
Response Function
100%
Feasible Solution
100%
Incomplete Data
100%
Engineering
Image Reconstruction
100%
Illustrates
50%
Response Function
50%
Regularization
50%
Reconstruction Problem
50%
Image Formation
50%
Gaussian White Noise
50%
Feasible Solution
50%
Observation Model
50%
Multiple Sensor
50%