Experimental Characterization of Partially Degenerate Three-Conductor Transmission Lines in the Time Domain

1981 ◽  
Vol EMC-23 (3) ◽  
pp. 133-138 ◽  
Author(s):  
Ashok Agrawal ◽  
Harold Price
Keyword(s):  
Transmission Lines ◽  
Time Domain ◽  
Experimental Characterization ◽  
The Time Domain

Exploring the discrimination power of the time domain for segmentation and characterization of active lesions in serial MR data

2000 ◽  
Vol 4 (1) ◽  
pp. 31-42 ◽  
Author(s):  
Guido Gerig ◽  
Daniel Welti ◽  
Charles R.G. Guttmann ◽  
Alan C.F. Colchester ◽  
Gábor Székely
Keyword(s):  
Time Domain ◽  
Discrimination Power ◽  
The Time Domain

Experimental characterization of dielectric properties of carbon nanotube networks

2011 ◽  
Vol 3 (4) ◽  
pp. 465-475
Author(s):  
Mahmoud A. EL Sabbagh
Keyword(s):  
Carbon Nanotube ◽  
Transmission Lines ◽  
Rf Circuits ◽  
Experimental Characterization ◽  
Experimental Realization ◽  
Fundamental Parameters ◽  
Conductive Properties ◽  
Carbon Nanotube Networks ◽  
Planar Transmission Lines

This paper explores the characterization of dielectric and conductive properties of carbon nanotube (CNT) networks. This is carried out by building planar transmission lines where conventional metallic traces are replaced by CNT networks. The proposed transmission lines with CNT networks are presented. Experimental realization and repeated two-port microwave measurements of proposed transmission lines enable the accurate extractions of their fundamental parameters showing percolation effects due to presence of CNT networks. The frequency-dependent phase velocity characteristics show a dramatic reduction compared to the speed of light in vacuum. The large magnitude of extracted complex permittivity for CNT networks also exhibits its percolation performance. The effects of CNTs' bulk density on measured and calculated parameters are explained. The results presented in this paper demonstrate the feasibility and the potential of building transmission lines and radio-frequency (RF) circuits elements using CNT networks.

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