Effect of Complex Permeability on Circuit Parameters of CPW with Magnetic Noise Suppression Sheet

2020 ◽  
Vol E103.B (9) ◽  
pp. 899-902
Author(s):  
Sho MUROGA ◽  
Motoshi TANAKA ◽  
Takefumi YOSHIKAWA ◽  
Yasushi ENDO
2006 ◽  
Vol 510-511 ◽  
pp. 826-829
Author(s):  
Sang Woo Kim ◽  
Y.W. Yoon ◽  
G.Y. Kim ◽  
Kyung Sub Lee

Radio frequency interference characteristics of plate-like Fe-Si-Al alloy powders-polymer composites were investigated for effective noise suppression. Broadband reflection loss characteristics were exhibited in the composites below a critical compaction pressure of 1.56 x 108 N/m2, while narrowband characteristics were shown in the composites above the critical pressure. Although the composites at 2.34 x 108 N/m2 had the highest complex permeability and complex permittivity, the loss properties did not show the broadband characteristics. The peculiar broadband characteristics were obtained in the composites with wideband dependency of the imaginary part of permittivity and permeability. These findings led us to conclude that the broadband electromagnetic interference characteristics of the composites are caused by the coupling effects of magnetic and dielectric resonance in the radio frequency range.


2015 ◽  
Vol 4 (1) ◽  
pp. 229-237 ◽  
Author(s):  
C. Coillot ◽  
M. El Moussalim ◽  
E. Brun ◽  
A. Rhouni ◽  
R. Lebourgeois ◽  
...  

Abstract. The performance of induction magnetometers, in terms of resolution, depends both on the induction sensor and the electronic circuit. To investigate accurately the sensor noise sources, an induction sensor, made of a ferrite ferromagnetic core, is combined with a dedicated low voltage and current noise preamplifier, designed in CMOS 0.35 μm technology. A modelling of the contribution of the ferromagnetic core to the noise through the complex permeability formalism is performed. Its comparison with experimental measurements highlight another possible source for the dominating noise near the resonance.


2000 ◽  
Author(s):  
Edward Awh ◽  
John Serences ◽  
Kelsey Libner ◽  
Michi Matsukura

2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.


2018 ◽  
Vol 138 (5) ◽  
pp. 593-602 ◽  
Author(s):  
Arata Kawamura ◽  
Takahiro Yamashita ◽  
Youji Iiguni

Author(s):  
Fang YANG ◽  
Jun WANG ◽  
Jintao WANG ◽  
Jian SONG ◽  
Zhixing YANG

Sign in / Sign up

Export Citation Format

Share Document