• DocumentCode
    3626427
  • 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
  • fYear
    2007
  • Firstpage
    321
  • Lastpage
    324
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications in Modern Satellite, Cable and Broadcasting Services, 2007. TELSIKS 2007. 8th International Conference on
  • Print_ISBN
    978-1-4244-1467-3
  • Type

    conf

  • DOI
    10.1109/TELSKS.2007.4376002
  • Filename
    4376002
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3626427