• DocumentCode
    288922
  • Title

    RBF growing algorithm applied to the equalization and co-channel interference rejection problem

  • Author

    Howitt, Ivan ; Reed, Jeffrey H. ; Vemuri, V. ; Hsia, T.C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
  • Volume
    6
  • fYear
    1994
  • fDate
    27 Jun- 2 Jul 1994
  • Firstpage
    3571
  • Abstract
    Recently the RBF network has been successfully applied to a number of communication signal processing problems, including equalization and co-channel interference rejection. Determining the number and locations of the centers is an important but usually neglected issue. A growing RBF algorithm for determining the number and location of the centers is presented and the performance is compared to a RBF with prescribed centers. The growing algorithm´s advantages are its limited need for prior information and its ability to better utilize the allocated centers. As an example, the growing algorithm reduced the number of centers by more than a factor of 231 over the prescribed method to achieve a desired performance for an equalization and interference rejection application
  • Keywords
    cochannel interference; equalisers; feedforward neural nets; interference suppression; signal processing; RBF growing algorithm; co-channel interference rejection; communication signal processing; equalization; neural nets; radial basis function network; Clustering algorithms; Computer networks; Feeds; Interchannel interference; Neural networks; Parameter estimation; Radial basis function networks; Signal processing algorithms; State-space methods; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374910
  • Filename
    374910