Differential correlation analysis of short time series

Wlodzimierz Pogribny; Igor Rozhankivsky; Zdzislav Drzycimski; Andrzej Milewski

doi:10.1117/12.363968

1 October 1999 Differential correlation analysis of short time series

Wlodzimierz Pogribny, Igor Rozhankivsky, Zdzislav Drzycimski, Andrzej Milewski

Proceedings Volume 3804, Algorithms, Devices, and Systems for Optical Information Processing III; (1999) https://doi.org/10.1117/12.363968
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Wlodzimierz Pogribny, Igor Rozhankivsky, Zdzislav Drzycimski, and Andrzej Milewski "Differential correlation analysis of short time series", Proc. SPIE 3804, Algorithms, Devices, and Systems for Optical Information Processing III, (1 October 1999); https://doi.org/10.1117/12.363968

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