20 GHz tunable filter based on ferroelectric (Ba,Sr)TiO3 film varactors

1998 ◽  
Vol 34 (11) ◽  
pp. 1107 ◽  
Author(s):  
V.N. Keis ◽  
A.B. Kozyrev ◽  
M.L. Khazov ◽  
J. Sok ◽  
J.S. Lee
Keyword(s):  
Tunable Filter ◽  
Tio3 Film

Wideband Visible Wavelength Range MEMS Fabry-Perot Tunable Filter with Ag Alloy Mirror

2012 ◽  
Vol 132 (2) ◽  
pp. 25-30 ◽  
Author(s):  
Nozomu Hirokubo ◽  
Hiroshi Komatsu ◽  
Nobuaki Hashimoto ◽  
Makoto Sonehara ◽  
Toshiro Sato
Keyword(s):  
Wavelength Range ◽  
Tunable Filter ◽  
Visible Wavelength ◽  
Visible Wavelength Range ◽  
Fabry Perot

Ultra-Narrow Band Tunable Filter

2005 ◽  
Author(s):  
Balam A. Willemsen
Keyword(s):  
Narrow Band ◽  
Tunable Filter

Optical Tunable Filter for Gridless ROADM

2017 ◽  
Author(s):  
Masaki Niwa ◽  
Yojiro Mori ◽  
Hiroshi Hasegawa ◽  
Ken-ichi Sato
Keyword(s):  
Tunable Filter

scholarly journals Hyperspectral super-resolution imaging with far-red emitting fluorophores using a thin-film tunable filter

2020 ◽  
Vol 91 (12) ◽  
pp. 123703
Author(s):  
Adriano Vissa ◽  
Maximiliano Giuliani ◽  
Peter K. Kim ◽  
Christopher M. Yip
Keyword(s):  
Thin Film ◽  
Super Resolution ◽  
Tunable Filter ◽  
Resolution Imaging

Wavelength readout system constructed of fiber Fabry-Perot tunable filter and virtual instrument

2010 ◽  
Author(s):  
Chengang Lü ◽  
Ruifeng Zhang ◽  
Pengfei Cheng ◽  
Kejia Li ◽  
Xing Wu ◽  
...  
Keyword(s):  
Virtual Instrument ◽  
Tunable Filter ◽  
Readout System ◽  
Fabry Perot

Simplified coupling power model for fibers fusion

2009 ◽  
Vol 17 (3) ◽  
Author(s):  
J. Saktioto ◽  
J. Ali ◽  
M. Fadhali
Keyword(s):  
Refractive Index ◽  
Propagation Constant ◽  
Tunable Filter ◽  
Experimental Result ◽  
Total Power ◽  
Optical Parameters ◽  
Coupling Region ◽  
Ratio Distribution ◽  
Hydrogen Flow ◽  
Wide Range

AbstractFiber coupler fabrication used for an optical waveguide requires lossless power for an optimal application. The previous research coupled fibers were successfully fabricated by injecting hydrogen flow at 1 bar and fused slightly by unstable torch flame in the range of 800–1350°C. Optical parameters may vary significantly over wide range physical properties. Coupling coefficient and refractive index are estimated from the experimental result of the coupling ratio distribution from 1% to 75%. The change of geometrical fiber affects the normalized frequency V even for single mode fibers. V is derived and some parametric variations are performed on the left and right hand side of the coupling region. A partial power is modelled and derived using V, normalized lateral phase constant u, and normalized lateral attenuation constant, w through the second kind of modified Bessel function of the l order, which obeys the normal mode and normalized propagation constant b. Total power is maintained constant in order to comply with the energy conservation law. The power is integrated through V, u, and w over the pulling length of 7500 µm for 1-D. The core radius of a fiber significantly affects V and power partially at coupling region rather than wavelength and refractive index of core and cladding. This model has power phenomena in transmission and reflection for an optical switch and tunable filter.

Dryer Effluent Monitoring in a Chemical Pilot Plant via Fiber-Optic Near-Infrared Spectroscopy

1998 ◽  
Vol 52 (5) ◽  
pp. 717-724 ◽  
Author(s):  
Charity Coffey ◽  
Alex Predoehl ◽  
Dwight S. Walker
Keyword(s):  
Real Time ◽  
Pilot Plant ◽  
Near Infrared ◽  
Fiber Optic ◽  
Tunable Filter ◽  
Calibration Model ◽  
Gas Cell ◽  
Rotary Dryer ◽  
Vapor Stream ◽  
Effluent Stream

The monitoring of the effluent of a rotary dryer has been developed and implemented. The vapor stream between the dryer and the vacuum is monitored in real time by a process fiber-optic coupled near-infrared (NIR) spectrometer. A partial least-squares (PLS) calibration model was developed on the basis of solvents typically used in a chemical pilot plant and uploaded to an acousto-optic tunable filter NIR (AOTF-NIR). The AOTF-NIR is well suited to process monitoring as it electrically scans a crystal and hence has no moving parts. The AOTF-NIR continuously fits the PLS model to the currently collected spectrum. The returned values can be used to follow the drying process and determine when the material can be unloaded from the dryer. The effluent stream was monitored by placing a gas cell in-line with the vapor stream. The gas cell is fiber-optic coupled to a NIR instrument located 20 m away. The results indicate that the percent vapor in the effluent stream can be monitored in real time and thus be used to determine when the product is free of solvent.

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