摘要翻译：
在具有理想介质的传输线中，输入电压单调增加的视频脉冲的衰减可以用沿有限电导率电极的“欧姆”压降u\sigma$来表征。本文给出了考虑强集肤效应和不考虑强集肤效应时同轴线和带状线中U_\sigma的精确计算公式。这些公式不依赖于介质的色散和非线性程度，适用于冲击电磁波衰减的计算
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英文标题：
《About attenuation of videopulse in nonlinear transmission lines with
  ideal dielectric》
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作者：
A. S. Kyuregyan
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  The attenuation of the video pulse with monotonically increasing input voltage in a transmission lines with an ideal dielectric can be characterized by "ohmic" voltage drop $U_\sigma$ along the electrodes with finite conductivity. The exact analytical formulas for the calculations $U_\sigma$ in coaxial and strip lines with and without taking into account the strong skin effect have been obtained. These formulas do not depend on the dispersion and the degree of nonlinearity of the dielectric and therefore is suitable for evaluating of shock electromagnetic waves attenuation
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PDF链接：
https://arxiv.org/pdf/1710.02005