Research on an Adaptive Filtering Algorithm of Exponentially-Weighted Fading Memory Used for Measurement Range of Hydrometric Monitoring Sensors

The complex hydrological status affected by the water surface rock, floats debris and other random disturbances, leading to the faults of monitoring automation, the current hydrological monitoring in monitoring automation, measurement accuracy, measurement cost, scope of application and other aspect...

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Vydané v:	2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA) s. 697 - 701
Hlavní autori:	He Jincan, Feng Maoyan
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2015
Predmet:	Area measurement Fading channels fading memory filter Filtering algorithms flood monitoring Kalman filter Measurement uncertainty Monitoring range adaptation sensor Time measurement Ultrasonic variables measurement
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