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Near-field imaging of interior cavities
Peijun Li
*
, Yuliang WANG
*
Corresponding author for this work
Department of Mathematics
Research output
:
Contribution to journal
›
Journal article
›
peer-review
16
Citations (Scopus)
Overview
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Dive into the research topics of 'Near-field imaging of interior cavities'. Together they form a unique fingerprint.
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Keyphrases
Near-field Imaging
100%
Interior Cavity
100%
Numerical Results
50%
Inverse Problem
50%
Point Source
50%
Boundary Value Problem
50%
Incident Field
50%
Nonlinear Correction
50%
Correction Algorithm
50%
Transformed Field Expansion
50%
Power Series Expansion
50%
Small Perturbation
50%
Higher-order Terms
50%
Subwavelength Resolution
50%
Smooth Perturbations
50%
Fourier Coefficients
50%
Surface Function
50%
Two-point Boundary Value Problem
50%
Explicit Relationship
50%
Scattered Data
50%
One Incident Wave
50%
Total Electric Field
50%
Cavity Surface
50%
Mathematics
Circle
100%
Near-Field
100%
Closed Form
50%
Source Point
50%
Incident Wave
50%
Boundary Value Problems
50%
Fourier Coefficient
50%
Power Series Expansion
50%
Correction Algorithm
50%
Two-Point Boundary Value Problem
50%
Engineering
Boundary Value
100%
Closed Form
50%
Source Point
50%
Incident Wave
50%
Field Expansion
50%
Fourier Coefficient
50%
Incident Field
50%
Cavity Surface
50%