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Feasibility of tomography with unknown view angles
Samit Basu,
Yoram Bresler
Electrical and Computer Engineering
Coordinated Science Lab
Bioengineering
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Keyphrases
Tomography
100%
Viewing Angle
100%
Recovery Problem
66%
Two Dimensional
33%
Error Bound
33%
Noise Level
33%
Phantom
33%
Cramer-Rao Lower Bound
33%
Unique Solution
33%
Stability Results
33%
Cramér-Rao Bound
33%
Excellent Performance
33%
Parallel Beam
33%
Low-to-moderate
33%
SIMPLE Algorithm
33%
Additive White Gaussian Noise
33%
ML Estimator
33%
Mathematics
Gaussian Distribution
100%
Approximates
100%
Stability Result
100%
Error Bound
100%
Variance
100%
unique solution φ
100%
Computer Science
Mild Condition
100%
Recovery Problem
100%
Machine Learning
50%
Unique Solution
50%
Cramer-Rao Bound
50%
Gaussian White Noise
50%
Simple Algorithm
50%
crame rao low bound
50%
Engineering
Recovery Problem
100%
Mild Condition
100%
Two Dimensional
50%
Error Bound
50%
Noise Level
50%
Parallel Beam
50%
Gaussian White Noise
50%
Physics
Tomography
100%
Random Noise
100%
Psychology
Gaussian Distribution
100%
Tomography
100%