Wavelet analysis for Mueller matrix images of biological crystal networks

Theoretically grounded in this work is the efficiency of using the statistical and
 fractal analyses for distributions of wavelet coefficients for Mueller-matrix images of
 biological crystal networks inherent to human tissues. The authors found interrelations
 between statis...

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Veröffentlicht in:Semiconductor Physics Quantum Electronics & Optoelectronics
Datum:2009
Hauptverfasser: Ushenko, Yu.O., Tomka, Yu.Ya., Pridiy, O.G., Motrich, A.V., Dubolazov, O.V., Misevitch, I.Z., Istratiy, V.V.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут фізики напівпровідників імені В.Є. Лашкарьова НАН України 2009
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/118842
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren:Wavelet analysis for Mueller matrix images of biological crystal networks / Yu.O. Ushenko, Yu.Ya. Tomka, O.G. Pridiy, A.V.Motrich, O.V. Dubolazov, I.Z.Misevitch, V.V. Istratiy // Semiconductor Physics Quantum Electronics & Optoelectronics. — 2009. — Т. 12, № 4. — С. 391-398. — англ.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine