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Compound-Gaussian clutter modeling with an inverse gaussian texture distribution
Esa Ollila
, David E. Tyler
, Visa Koivunen
,
H. Vincent Poor
Electrical and Computer Engineering
High Meadows Environmental Institute
Research output
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Contribution to journal
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Article
›
peer-review
164
Scopus citations
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Dive into the research topics of 'Compound-Gaussian clutter modeling with an inverse gaussian texture distribution'. Together they form a unique fingerprint.
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Keyphrases
Texture Distribution
100%
Inverse Gaussian Texture
100%
Gaussian Clutter
100%
Clutter Modeling
100%
Amplitude Probability Distribution
50%
Multi-Gaussian Model
50%
Distributional Properties
50%
Non-Gaussian Clutter
50%
Compound Gaussian
50%
Compound Gaussian Distribution
50%
Earth and Planetary Sciences
Probability Density Function
100%
Distribution Function
50%
Radar Resolution
50%
Normal Density Functions
50%
Kurtosis
50%
Engineering
Gaussians
100%
Probability Density Function
33%
High Resolution
16%
Closed Form Expression
16%
Gaussian Model
16%
Cumulative Distribution Function
16%
Sea Clutter
16%
Material Science
Density
100%