Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Phase Segmentation of Thin Multispectral Signals

Akhmetshina L.1, Udovick I.2
1 Dniepropetrovsk National University named by Oles Honchar
2 Dniepropetrovsk National University named by Oles Hochar

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UDC: 004.93
Publication Language: Russian
Stuc. intelekt. 2011; 16(3):200-206

Abstract: In the present paper new data capability of the interference technique used for segmentation of thin phase portraits in space of informational indicators was examined. The key part of this approach is based on the reference wave formation with the application of multispectral signals. That allows to synthesize new phase characteristics and to improve analysis sensitivity. The results of working efficiency of this new method achieved for certain models and signals are demonstrated.

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References:

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  2. Born M. Osnovyoptiki. M. : Nauka. 1973. 719 s.
  3. Ahmetshina L.G. Iskusstvennyjintellekt. № 3. 2007. S. 193-204.
  4. Ahmetshina L.G. Iskusstvennyjintellekt. № 3. 2010. S. 427-431.

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