scholarly journals Noise suppression for ballistic-photons based on compressive in-line holographic imaging through an inhomogeneous medium

2020 ◽  
Vol 28 (7) ◽  
pp. 10337 ◽  
Author(s):  
Hua Zhang ◽  
Songwen Liu ◽  
Liangcai Cao ◽  
David J. Brady
Keyword(s):  
Inhomogeneous Medium ◽  
Noise Suppression ◽  
Holographic Imaging ◽  
Ballistic Photons

Performance and applications of the holography electron microscope

1993 ◽  
Vol 51 ◽  
pp. 1078-1079
Author(s):  
Akira Tonomura
Keyword(s):  
Electron Beam ◽  
Electron Microscope ◽  
Phase Measurement ◽  
Electron Holography ◽  
Imaging Method ◽  
High Contrast ◽  
Magnetic Lens ◽  
High Brightness ◽  
Holographic Imaging ◽  
Dynamic Observation

Electron holography is a two-step imaging method. However, the ultimate performance of holographic imaging is mainly determined by the brightness of the electron beam used in the hologram-formation process. In our 350kV holography electron microscope (see Fig. 1), the decrease in the inherently high brightness of field-emitted electrons is minimized by superposing a magnetic lens in the gun, for a resulting value of 2 × 109 A/cm2 sr. This high brightness has lead to the following distinguished features. The minimum spacing (d) of carrier fringes is d = 0.09 Å, thus allowing a reconstructed image with a resolution, at least in principle, as high as 3d=0.3 Å. The precision in phase measurement can be as high as 2π/100, since the position of fringes can be known precisely from a high-contrast hologram formed under highly collimated illumination. Dynamic observation becomes possible because the current density is high.

Endogenous Noise Suppression During Covert Orienting

2000 ◽  
Author(s):  
Edward Awh ◽  
John Serences ◽  
Kelsey Libner ◽  
Michi Matsukura
Keyword(s):  
Noise Suppression ◽  
Covert Orienting

An Absolute Phase Estimation Method for Interferometry Imagery

2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim
Keyword(s):  
Noise Suppression ◽  
Estimation Method ◽  
Phase Image ◽  
Phase Estimation ◽  
Phase Reconstruction ◽  
Estimation Algorithms ◽  
Absolute Phase ◽  
Filtering Rate ◽  
Interferometric Phase ◽  
Image Performance

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.

Beat Noise Suppression Using Adaptive Line Enhancers for FM Radio in Motor Vehicles

2018 ◽  
Vol 138 (5) ◽  
pp. 593-602 ◽  
Author(s):  
Arata Kawamura ◽  
Takahiro Yamashita ◽  
Youji Iiguni
Keyword(s):  
Noise Suppression ◽  
Motor Vehicles ◽  
Beat Noise ◽  
Fm Radio

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
Keyword(s):  
Noise Suppression ◽  
Complex Permeability ◽  
Magnetic Noise
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