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26 April 2006Optimization of data storage for identification of process dynamics
The following paper is focused on optimization of data storage for identification of dynamic processes. A method for compression of archived data, containing information about process dynamics without a significant loss of information is described. The proposed algorithm applied to identify TSK models, allows reduction of data amount(approx. factor of l0), efficient data aggregation and archiving.
Marta Kaminska
"Optimization of data storage for identification of process dynamics", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61593O (26 April 2006); https://doi.org/10.1117/12.674899
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Marta Kaminska, "Optimization of data storage for identification of process dynamics," Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61593O (26 April 2006); https://doi.org/10.1117/12.674899