СOMPUTATIONAL COMPLEXITY ANALYSIS OF RECURRENT DATA PROCESSING ALGORITHMS IN OPTICAL COHERENCE TOMOGRAPHY

СOMPUTATIONAL COMPLEXITY ANALYSIS OF RECURRENT DATA PROCESSING ALGORITHMS IN OPTICAL COHERENCE TOMOGRAPHY

The paper deals with the basic principles of signals representation in optical coherence tomography with the usage of dynamic systems theory formalism. Computational complexity of algorithms for dynamic estimation of signals parameters is analyzed, such as extended Kalman filter and sequential Mon...

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Bibliographic Details
Main Authors: Maxim A. Volynsky, Igor P. Gurov, Peter A. Ermolaev, Pavel S. Skakov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2014-11-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
optical coherence tomography
interferometric signals processing
computational complexity
extended Kalman filter
sequential Monte-Carlo method
Online Access:http://ntv.ifmo.ru/file/article/11187.pdf

Internet

http://ntv.ifmo.ru/file/article/11187.pdf

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