RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING

The method of dynamic data processing in spectral optical coherence tomography based on Kalman filtering is suggested. Adaptive choice possibility of necessary number of spectral samples to ensure required resolution for a particular investigated sample is shown. Examples of experimental data proces...

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Main Authors: M. A. Volynsky, I. P. Gurov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2013-03-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
Online Access:http://openbooks.ifmo.ru/read_ntv/4118/4118.pdf
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author M. A. Volynsky
I. P. Gurov
author_facet M. A. Volynsky
I. P. Gurov
author_sort M. A. Volynsky
collection DOAJ
description The method of dynamic data processing in spectral optical coherence tomography based on Kalman filtering is suggested. Adaptive choice possibility of necessary number of spectral samples to ensure required resolution for a particular investigated sample is shown. Examples of experimental data processing obtained at biological objects investigating are presented.
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publishDate 2013-03-01
publisher Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
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spelling doaj.art-88578d5fc55f4bcc86b230403bb077a92022-12-22T01:53:58ZengSaint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki2226-14942500-03732013-03-011334044RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERINGM. A. VolynskyI. P. GurovThe method of dynamic data processing in spectral optical coherence tomography based on Kalman filtering is suggested. Adaptive choice possibility of necessary number of spectral samples to ensure required resolution for a particular investigated sample is shown. Examples of experimental data processing obtained at biological objects investigating are presented.http://openbooks.ifmo.ru/read_ntv/4118/4118.pdfoptical coherence tomographyspectral interferometryFourier transformKalman filter
spellingShingle M. A. Volynsky
I. P. Gurov
RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
optical coherence tomography
spectral interferometry
Fourier transform
Kalman filter
title RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING
title_full RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING
title_fullStr RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING
title_full_unstemmed RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING
title_short RECURRENT DATA PROCESSING IN SPECTRAL OPTICAL COHERENCE TOMOGRAPHY BASED ON KALMAN FILTERING
title_sort recurrent data processing in spectral optical coherence tomography based on kalman filtering
topic optical coherence tomography
spectral interferometry
Fourier transform
Kalman filter
url http://openbooks.ifmo.ru/read_ntv/4118/4118.pdf
work_keys_str_mv AT mavolynsky recurrentdataprocessinginspectralopticalcoherencetomographybasedonkalmanfiltering
AT ipgurov recurrentdataprocessinginspectralopticalcoherencetomographybasedonkalmanfiltering