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Algorithm for excitation optimization of Fabry-Perot filters used in swept sources

Avanaki, M.R.N., Bradu, Adrian, Trifanov, I., Ribeiro, A.B.L., Hojjatoleslami, Ali, Podoleanu, Adrian G.H. (2013) Algorithm for excitation optimization of Fabry-Perot filters used in swept sources. IEEE Photonics Technology Letters, 25 (5). pp. 472-475. ISSN 1041-1135. (doi:10.1109/LPT.2013.2240292) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:49346)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:
http://dx.doi.org/10.1109/LPT.2013.2240292

Abstract

We investigate the improvement in the nonlinearity of a conventional wavelength swept laser source on the basis of a fiber Fabry-Pérot tunable filter using a well-established optimization method, simulated annealing (SA). The signal driving the filter is constructed from many short ramps of different slopes that are interconnected. The values of the slopes are optimized through the SA algorithm to achieve maximum amplitude for the Fourier transformed peaks of the photodetected interferometric signal. © 1989-2012 IEEE.

Item Type: Article
DOI/Identification number: 10.1109/LPT.2013.2240292
Uncontrolled keywords: Biomedical imaging, optical coherence tomography, simulated annealing algorithm, tunable filter, Biomedical imaging, Different slopes, Fourier, Interferometric signals, Maximum amplitude, Optimization method, Rot filter, SA algorithm, Simulated annealing algorithms, Swept source, Tunable filters, Wavelength swept laser, Algorithms, Medical imaging, Optical tomography, Simulated annealing, Signal processing
Subjects: Q Science > QC Physics
Q Science > QC Physics > QC355 Optics
Divisions: Divisions > Division of Natural Sciences > Physics and Astronomy
Depositing User: Giles Tarver
Date Deposited: 16 Jul 2015 09:36 UTC
Last Modified: 16 Feb 2021 13:26 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/49346 (The current URI for this page, for reference purposes)

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