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Rank-based optimization techniques for estimation problems in optics
Reinier Doelman
Team Raf Van de Plas
Research output
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Thesis
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Dissertation (TU Delft)
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Dive into the research topics of 'Rank-based optimization techniques for estimation problems in optics'. Together they form a unique fingerprint.
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INIS
dynamics
100%
optics
100%
optimization
100%
images
83%
cameras
83%
information
66%
mirrors
50%
telescopes
50%
performance
50%
sensors
50%
nonlinear problems
33%
optical systems
33%
algorithms
33%
inclusions
33%
design
16%
flexibility
16%
earth atmosphere
16%
air
16%
wind loads
16%
coupling
16%
noise
16%
point sources
16%
implementation
16%
microscopes
16%
comparative evaluations
16%
illumination
16%
investigations
16%
devices
16%
errors
16%
validation
16%
Computer Science
Model
100%
Optimization Technique
100%
Blind Deconvolution
66%
Optical Network
66%
Algorithms
66%
Design
33%
Life Circumstance
33%
Distributed Nature
33%
Multiple Camera
33%
Communication
33%
Efficient Implementation
33%
Convex Optimization
33%
Interconnection Pattern
33%
Measurement Noise
33%
Estimation Method
33%
Engineering
Estimation
100%
Optimization Technique
100%
Images
50%
Models
37%
Sensor
37%
Phase Retrieval
37%
Optimization
25%
Blind Deconvolution
25%
Optical Systems
25%
Algorithm
25%
Multiple Camera
12%
Supporting Structure
12%
Measurement
12%
Measurement Noise
12%
Source Point
12%
Efficient Implementation
12%
Assuming
12%
Performance
12%
Imaging Performance
12%
Optical Path
12%
Design
12%
Real Life
12%
Path Error
12%
Blurred Image
12%
Optical Performance
12%
Interconnection
12%
Mathematics
Wavefront
100%
Sensor
37%
Nonlinear
25%
Algorithm
25%
Reliable Estimate
12%
Communicates
12%
Real Life
12%
Model Set
12%
Global Dynamics
12%
Source Point
12%
Estimation Method
12%
Keyphrases
Nonlinear Estimation Problems
14%
Non-common Path Error
7%
Life Circumstances
7%
Physics
Segmented Mirror
12%
Earth and Planetary Sciences
Deformable Mirror
12%