All-optical loss modulation with graphene-buried polymer waveguides

2019 ◽  
Vol 44 (15) ◽  
pp. 3685 ◽  
Author(s):  
Zeshan Chang ◽  
Kin Seng Chiang
2003 ◽  
Vol 21 (1-3) ◽  
pp. 543-548 ◽  
Author(s):  
Jae-Wook Kang ◽  
Eunkyoung Kim ◽  
Jang-Joo Kim

2010 ◽  
Vol 49 (19) ◽  
pp. 3684 ◽  
Author(s):  
Aydin Yeniay ◽  
Renfeng Gao

2000 ◽  
Vol 174 (1-4) ◽  
pp. 133-137 ◽  
Author(s):  
A.V Tomov ◽  
A.I Voitenkov

2007 ◽  
Vol 106 (4) ◽  
pp. 2320-2327 ◽  
Author(s):  
Shashikant G. Hegde ◽  
Fuhan Liu ◽  
Gee-Kung Chang ◽  
Suresh K. Sitaraman

2011 ◽  
Author(s):  
Brandon W. Swatowski ◽  
Christopher T. Middlebrook ◽  
Karl Walczak ◽  
Michael C. Roggemann

Author(s):  
R. Hegerl ◽  
A. Feltynowski ◽  
B. Grill

Till now correlation functions have been used in electron microscopy for two purposes: a) to find the common origin of two micrographs representing the same object, b) to check the optical parameters e. g. the focus. There is a third possibility of application, if all optical parameters are constant during a series of exposures. In this case all differences between the micrographs can only be caused by different noise distributions and by modifications of the object induced by radiation.Because of the electron noise, a discrete bright field image can be considered as a stochastic series Pm,where i denotes the number of the image and m (m = 1,.., M) the image element. Assuming a stable object, the expectation value of Pm would be Ηm for all images. The electron noise can be introduced by addition of stationary, mutual independent random variables nm with zero expectation and the variance. It is possible to treat the modifications of the object as a noise, too.


1988 ◽  
Vol 49 (C2) ◽  
pp. C2-459-C2-462 ◽  
Author(s):  
F. A.P. TOOLEY ◽  
B. S. WHERRETT ◽  
N. C. CRAFT ◽  
M. R. TAGHIZADEH ◽  
J. F. SNOWDON ◽  
...  
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PIERS Online ◽  
2005 ◽  
Vol 1 (1) ◽  
pp. 92-95 ◽  
Author(s):  
Wei-Ching Chuang ◽  
Chi-Ting Ho ◽  
Ruey Fang Shyu

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