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1.
Opt Express ; 27(24): 35962-35970, 2019 Nov 25.
Article in English | MEDLINE | ID: mdl-31878760

ABSTRACT

Few-mode EDFAs with low channel crosstalk can replace multiple parallel single-mode EDFAs in single-mode fiber trunk lines and networks. Here we proposed a low-crosstalk few-mode EDFA by exploiting the unitary property of the coupling matrix of a symmetric photonic lantern. We experimentally demonstrated a 3-channel few-mode EDFA using retro-reflection of a 3-mode symmetric photonic lantern. The small signal gain for all three channels are measured to be larger than 25 dB over the entire C-band and the crosstalks are below -10 dB.

2.
Opt Express ; 19(26): B357-62, 2011 Dec 12.
Article in English | MEDLINE | ID: mdl-22274043

ABSTRACT

We analyzed the mechanism of the interplay between PDL and fiber nonlinear effects in 112 Gb/s DP-QPSK systems and showed that PDL can generate large data-dependent optical peak power variations that can worsen nonlinear tolerance and cause an additional 1.4 dB Q-penalty.

3.
Appl Opt ; 41(7): 1454-61, 2002 Mar 01.
Article in English | MEDLINE | ID: mdl-11900026

ABSTRACT

Uniformly redundant array coded apertures have proven to be useful in the design of collimators for x-ray astronomy. They were initially expected to be equally successful in single-photon emission computed tomography (SPECT). Unfortunately, the SPECT images produced by this collimator contain artifacts, which mask the true picture and can lead to false diagnosis. Monte Carlo simulation has shown that the formation of a composite image will significantly reduce these artifacts. A simulation of a tumor in a compressed breast phantom has produced a composite image, which clearly indicates the presence of a 5 mm x 5 mm x 5 mm tumor with a 6:1 intensity ratio relative to the background tissue.


Subject(s)
Models, Theoretical , Tomography, Emission-Computed, Single-Photon/instrumentation , Artifacts , Breast Neoplasms/diagnostic imaging , Computer Simulation , Female , Humans , Monte Carlo Method , Phantoms, Imaging
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