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Proceedings Paper

Differential correlation analysis of short time series
Author(s): Wlodzimierz Pogribny; Igor Rozhankivsky; Zdzislav Drzycimski; Andrzej Milewski
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Paper Abstract

In this paper effective differential algorithms of the correlation analysis (CA) of short time series in real time oriented on multi-process and neural systems have been analyzed. According to this analog signal representation delta modulation (DM) format as well as the correlation analysis of recurrent algorithms have also been considered. Particular attention has been paid to the use of sign delta modulation (SignDM) in CA proposed by the authors. Correlation analysis in SignDM format was illustrated with the results of computer simulations. The algorithms that were worked out are regular and particularly useful in neural systems.

Paper Details

Date Published: 1 October 1999
PDF: 9 pages
Proc. SPIE 3804, Algorithms, Devices, and Systems for Optical Information Processing III, (1 October 1999); doi: 10.1117/12.363968
Show Author Affiliations
Wlodzimierz Pogribny, Institute of Telecommunications of UTA (Poland)
Igor Rozhankivsky, Institute of Telecommunications of UTA (Poland)
Zdzislav Drzycimski, Institute of Telecommunications of UTA (Poland)
Andrzej Milewski, Institute of Telecommunications of UTA (Poland)


Published in SPIE Proceedings Vol. 3804:
Algorithms, Devices, and Systems for Optical Information Processing III
Bahram Javidi; Demetri Psaltis, Editor(s)

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