Performance of signal-to-noise ratio estimation for scanning electron microscope using autocorrelation Levinson-Durbin recursion model

2016 ◽  
Vol 263 (1) ◽  
pp. 64-77
Author(s):  
K.S. SIM ◽  
M.S. LIM ◽  
Z.X. YEAP
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Signal To Noise ◽  
Noise Ratio ◽  
Scanning Electron

Observation of Semiconductor Superstructures With Backscattered Electrons in a Scanning Electron Microscope

1994 ◽  
Vol 354 ◽  
Author(s):  
A. Bosacchi ◽  
S. Franchi ◽  
D. Govoni ◽  
G. Mattei ◽  
P.G. Merli ◽  
...  
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
Signal To Noise Ratio ◽  
Beam Size ◽  
Signal To Noise ◽  
Backscattered Electrons ◽  
Imaging Mode ◽  
Noise Ratio ◽  
Scanning Electron

AbstractObservations of semiconductor superstructures with backscattered electrons in a scanning electron microscope have been used to revisit the concept of resolution of the backscattering imaging mode. It will be shown that the generation volume doesn't represent in itself a limit to the resolution, which depends only on the beam size and the signal to noise ratio.

Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning

2020 ◽  
Author(s):  
Hao Li ◽  
DeLiang Wang ◽  
Xueliang Zhang ◽  
Guanglai Gao
Keyword(s):  
Deep Learning ◽  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Signal To Noise ◽  
Noise Ratio
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