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2019
DOI: 10.1364/ol.44.005840
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On-chip Fourier-transform spectrometers and machine learning: a new route to smart photonic sensors

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Cited by 22 publications
(13 citation statements)
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“…10c . To further increase the spectral performance of SH-FTS at a given channel count, advanced post-processing algorithms can be explored such as compressive sensing 84 and machine learning 85 .…”
Section: Technological Analysis Of Integrated Spectrometersmentioning
confidence: 99%
“…10c . To further increase the spectral performance of SH-FTS at a given channel count, advanced post-processing algorithms can be explored such as compressive sensing 84 and machine learning 85 .…”
Section: Technological Analysis Of Integrated Spectrometersmentioning
confidence: 99%
“…They also demonstrated differentiation of four different input spectra over an uncontrolled temperature range of 10 °C, with ≈100 times the operational range, using state‐of‐the‐art support vector machines and artificial neural networks, with a success rate of 82.5%. [ 101 ]…”
Section: On‐chip Ftssmentioning
confidence: 99%
“…The silicon-on-insulator (SOI) integrated photonic platform has been successfully exploited in a wide variety of fields, from telecom and datacom systems [ 1 , 2 ] to biochemical sensors [ 3 ], LIDAR systems [ 4 ], microspectrometers [ 5 , 6 , 7 ] and supercontinuum generation [ 8 ], among many others. The expansion into these diverse application fields has been made possible by the inherent benefits of the SOI platform, including large capacity of integration due to high refractive-index contrast [ 9 ] and low-cost mass production provided by the compatibility with complementary metal oxide semiconductor (CMOS) fabrication processes [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…Conversely, the strong modal confinement results in SOI devices with high sensitivity to geometrical deviations from nominal design. This constraint is also present in power splitting components, a fundamental functionality in most silicon photonic integrated circuits [ 11 ] and, specifically, in an extensive range of applications including wavelength- and mode-division multiplexing [ 12 ], optical phased arrays [ 13 ] and on-chip spectrometers [ 6 ].…”
Section: Introductionmentioning
confidence: 99%
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