Paper
23 May 2013 Recurrence signal processing in Fourier-domain optical coherence tomography based on linear Kalman filtering
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Abstract
The method of dynamic data processing in Fourier-domain optical coherence tomography based on the Kalman filtering algorithm is proposed. It is shown the possibility of adaptive selection of the required number of spectral samples at different wavelengths to provide necessary resolution of an investigated object micro structure. Experimental results of dynamic data processing in the swept-source optical coherence tomography are presented.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Igor Gurov and Maxim Volynsky "Recurrence signal processing in Fourier-domain optical coherence tomography based on linear Kalman filtering", Proc. SPIE 8792, Optical Methods for Inspection, Characterization, and Imaging of Biomaterials, 879203 (23 May 2013); https://doi.org/10.1117/12.2020615
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Cited by 1 scholarly publication.
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KEYWORDS
Filtering (signal processing)

Optical coherence tomography

Electronic filtering

Data processing

Optical filters

Fourier transforms

Spectral resolution

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