• DocumentCode
    3014433
  • Title

    Knowledge-based adaptive signal processing

  • Author

    Hu, Yu Hen ; Abdallah, Ali Hussein

  • Author_Institution
    Southern Methodist University, Dallas, Texas, U.S.A.
  • Volume
    12
  • fYear
    1987
  • fDate
    31868
  • Firstpage
    1875
  • Lastpage
    1878
  • Abstract
    In this paper, the use of Artificial Intelligence (A.I.) techniques for improving the performance of adaptive signal processing algorithms is considered. Three potential application areas are identified: (1) The selection and adaptation of secondary control parameters and underlying models, (2) intelligent search methods for adaptation algorithms, and (3) the integration of information from various sources. Various A.I. methods will be proposed for each of these problem areas.
  • Keywords
    Adaptation model; Adaptive algorithm; Adaptive signal processing; Adaptive systems; Artificial intelligence; Power system modeling; Search methods; Signal processing algorithms; Sonar; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '87.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1987.1169541
  • Filename
    1169541
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3014433