• DocumentCode
    1273826
  • Title

    Adaptive comb-filtering using neural networks

  • Author

    Horn, Joachim ; Jansen, Michael ; Prange, Stefan J.

  • Author_Institution
    Corp. Technol., Siemens AG, Munich, Germany
  • Volume
    43
  • Issue
    3
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    833
  • Lastpage
    836
  • Abstract
    Neural networks of multi-layer perceptron type perform well as adaptive comb-filters for PAL and NTSC color decoding. They are optimized by learning algorithms. Sampled encoded and original images serve as training patterns
  • Keywords
    adaptive filters; adaptive signal processing; decoding; image sampling; multilayer perceptrons; nonlinear filters; optimisation; telecommunication standards; television standards; video coding; NTSC color decoding; PAL color decoding; adaptive comb-filtering; learning algorithms; multi-layer perceptron type; neural networks; nonlinear filtering; optimization; sampled encoded images; sampled original images; training patterns; video processing; Adaptive filters; Decoding; Filtering; Frequency; Multi-layer neural network; Multilayer perceptrons; Neural networks; Nonlinear filters; Power capacitors; Switches;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/30.628727
  • Filename
    628727
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1273826