Microwave Imaging by Deep Learning Network: Feasibility and Training Method [0.03%]
基于深度学习网络的微波成像方法及训练算法研究
Wenyi Shao,Yong Du
Wenyi Shao
Microwave image reconstruction based on a deep-learning method is investigated in this paper. The neural network is capable of converting measured microwave signals acquired from a 24×24 antenna array at 4 GHz into a 128×128 image. To red...
Comments on "Investigation of Histology Region Dielectric Measurements of Heterogeneous Tissues" [0.03%]
关于“异质组织的组织学区域介电测量研究”的评论
Paul M Meaney,Andrew P Gregory,Tapani Lahtinen et al.
Paul M Meaney et al.
In the paper, "Investigation of histology region in dielectric measurements of heterogeneous tissues," by Porter and O'Halloran, the authors utilize a flexible phantom in a layered material dielectric property analysis to quantify the effec...
Analysis of E-Band Path Loss and Propagation Mechanisms in the Indoor Environment [0.03%]
室内环境E频段路径损耗及传播机制分析
Jelena Senic,Camillo Gentile,Peter B Papazian et al.
Jelena Senic et al.
Millimeter-wave transceivers will feature massive phased-array antennas whose pencilbeams can be steered toward the angle of arrival of the propagation path having the maximum power, exploiting their high gain to compensate for the greater ...
Ray Tracing and Modal Methods for Modeling Radio Propagation in Tunnels With Rough Walls [0.03%]
带粗糙壁隧道中无线电波传播的光线追踪法和模式法建模研究
Chenming Zhou
Chenming Zhou
At the ultrahigh frequencies common to portable radios, tunnels such as mine entries are often modeled by hollow dielectric waveguides. The roughness condition of the tunnel walls has an influence on radio propagation, and therefore should ...
Single realization stochastic FDTD for weak scattering waves in biological random media [0.03%]
生物随机介质中弱散射波的单实现 stochastic FDTD 研究
Tengmeng Tan,Allen Taflove,Vadim Backman
Tengmeng Tan
This paper introduces an iterative scheme to overcome the unresolved issues presented in S-FDTD (stochastic finite-difference time-domain) for obtaining ensemble average field values recently reported by Smith and Furse in an attempt to rep...
Matthew J Burfeindt,Jacob D Shea,Barry D Van Veen et al.
Matthew J Burfeindt et al.
We present a focal-beamforming-enhanced formulation of the distorted Born iterative method (DBIM) for microwave breast imaging. Incorporating beamforming into the imaging algorithm has the potential to mitigate the effect of noise on the im...
Multi-Band Miniaturized Patch Antennas for a Compact, Shielded Microwave Breast Imaging Array [0.03%]
一种新颖的微波乳腺成像阵列的多频小型化贴片天线技术研究
Suzette M Aguilar,Mudar A Al-Joumayly,Matthew J Burfeindt et al.
Suzette M Aguilar et al.
We present a comprehensive study of a class of multi-band miniaturized patch antennas designed for use in a 3D enclosed sensor array for microwave breast imaging. Miniaturization and multi-band operation are achieved by loading the antenna ...
A Sparsity Regularization Approach to the Electromagnetic Inverse Scattering Problem [0.03%]
电磁逆散射问题的稀疏正则化方法研究
David W Winters,Barry D Van Veen,Susan C Hagness
David W Winters
We investigate solving the electromagnetic inverse scattering problem using the distorted Born iterative method (DBIM) in conjunction with a variable-selection approach known as the elastic net. The elastic net applies both ℓ1 and ℓ2 pena...
Viable Three-Dimensional Medical Microwave Tomography: Theory and Numerical Experiments [0.03%]
实用的三维医学微波层析成像理论和数值实验研究
Qianqian Fang,Paul M Meaney,Keith D Paulsen
Qianqian Fang
Three-dimensional microwave tomography represents a potentially very important advance over 2D techniques because it eliminates associated approximations which may lead to more accurate images. However, with the significant increase in prob...