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3D super-resolution of coded aperture millimeter-wave images using complex-valued convolutional neural network
Rahul Sharma
,
Jiaming Zhang
, Rupesh Kumar
, Bhabesh Deka
,
Vincent Fusco
,
Okan Yurduseven
School of Electronics, Electrical Engineering and Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
11
Citations (Scopus)
275
Downloads (Pure)
Overview
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Student theses
(1)
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Dive into the research topics of '3D super-resolution of coded aperture millimeter-wave images using complex-valued convolutional neural network'. Together they form a unique fingerprint.
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Computer Science
Waves
100%
Convolutional Neural Network
100%
super resolution
100%
Imaging Systems
62%
Neural Network Architecture
25%
Models
25%
Application
12%
Signal Processing
12%
Information Content
12%
Machine Learning Algorithm
12%
System Parameter
12%
Security Screening
12%
Structural Similarity
12%
Subnetwork
12%
Phase Information
12%
Physics
Images
100%
Model
28%
Frequencies
28%
Wave Imaging
28%
Information
14%
Utilization
14%
Algorithms
14%
Differences
14%
Targets
14%
Independent Variables
14%
Magnitude
14%
Foci
14%
Output
14%
Super-Resolution Imaging
14%
Radar
14%
Machine Learning
14%
Signal Processing
14%
Electromagnetic Radiation
14%
Learning
14%