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Sparsity Regularized Nonlinear Inversion for Microwave Imaging
Ulas Taskin
*
,
Ozgur Ozdemir
*
Corresponding author for this work
Department of Electronics and Communication Engineering
Delft University of Technology
Research output
:
Contribution to journal
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Article
›
peer-review
8
Citations (Scopus)
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Dive into the research topics of 'Sparsity Regularized Nonlinear Inversion for Microwave Imaging'. Together they form a unique fingerprint.
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Keyphrases
Microwave Imaging
100%
Gradient Method
100%
Sparsity
100%
Regularized Nonlinear Inversion
100%
Numerical Experiments
66%
Non-sparse
66%
Wavelet Coefficients
33%
Imaging Applications
33%
Spatial Domain
33%
Wavelet Domain
33%
Imaging Techniques
33%
Inverse Scattering Algorithm
33%
Fast Iterative Shrinkage-thresholding Algorithm (FISTA)
33%
Sparse Domain
33%
Wavelet Transformation
33%
Imaging Domain
33%
Domain Reconstruction
33%
Domain Imaging
33%
Engineering
Numerical Experiment
100%
Sparsity
100%
Spatial Domain
50%
Inverse Method
50%
High Resolution
50%
Computer Science
Sparsity
100%
Gradient Method
100%
Wavelet Coefficient
33%
Wavelet Domain
33%
wavelet transformation
33%
Spatial Domain
33%
Mathematics
Wavelet
100%
Numerical Experiment
66%
Thresholding
33%
Inverse Method
33%
Spatial Domain
33%
Earth and Planetary Sciences
Wavelet
100%
Inverse Scattering
33%
Imaging Technique
33%