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Parameterized interpolation for fusion of multidimensional signals of various resolutions
M.V. Gashnikov 1,2

1 Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34,
2 IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS,
443001, Samara, Russia, Molodogvardeyskaya 151

 PDF, 1208 kB

DOI: 10.18287/2412-6179-CO-696

Pages: 436-440.

Full text of article: Russian language.

Abstract:
Parameterized interpolation algorithms are adapted to fusion of multidimensional signals of various resolutions. Interpolating functions, switching rules for them and local features are specified, based on which the interpolating function is selected at each point of the signal. Parameterized interpolation algorithms are optimized based on minimizing the interpolation error. The recurrent interpolator optimization scheme is considered for the situation of inaccessibility of interpolated samples at the stage of setting up the interpolation procedure. Computational experiments are carried out to study the proposed interpolators for fusion of real multidimensional signals of various types. It is experimentally confirmed that the use of parameterized interpolators allows one to increase the accuracy of signal fusion.

Keywords:
signal fusion, multidimensional signal, signal resolution, interpolation, optimization.

Citation:
Gashnikov MV. Parameterized interpolation for fusion of multidimensional signals of various resolutions. Computer Optics 2020; 44(3): 436-440. DOI: 10.18287/2412-6179-CO-696.

Acknowledgements:
The research was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant # 0777-2020-0017) and partially funded by RFBR, project number # 19-29-01135.

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