Title :
Adaptive Filters for Water Level Data Processing
Author :
Dragoljub Pokrajac;Natasa Reljin;Michael Reiter;Stephanie Stotts;Robert Scarborough;Jelena Nikolic
Author_Institution :
Computer and Information Science department, Applied Mathematics Research Center and Center for Research and Education in Optical Sciences and Applications, Delaware State University, 1200 N DuPont Hwy, Dover, DE 199901, USA, E-mail: dpokrajac@desu.edu
Abstract :
We describe application of adaptive filters on water level data. The original dataset is a time series of 57,127 measurements and consists of water levels measured at two locations along the St. Jones River, Delaware. After data cleansing to recover for missing data and reduce periodic components in the dataset, adaptive filters are applied to remove the influence of upstream water level on the levels measured downstream.
Keywords :
"Adaptive filters","Data processing","Sea level","Sea measurements","Productivity","Time measurement","Rivers","Ecosystems","Tides","Economic forecasting"
Conference_Titel :
Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2007. TELSIKS 2007. 8th International Conference on
Print_ISBN :
978-1-4244-1467-3
DOI :
10.1109/TELSKS.2007.4376002
