• DocumentCode
    2397597
  • Title

    Neural Network Models of the Generalized Fast Trigonometric Transformations

  • Author

    Yatsymirskyy, Mykhailo ; Liskevych, Oleh

  • Author_Institution
    Tech. Univ. of Lodz, Lodz
  • fYear
    2006
  • fDate
    Feb. 28 2006-March 4 2006
  • Firstpage
    301
  • Lastpage
    302
  • Abstract
    Neural networks for discrete trigonometric transformations modeling results are given. Accordance between theoretically and empirically derived model characteristics is shown.
  • Keywords
    computational complexity; discrete transforms; neural nets; signal processing; discrete trigonometric transformations modeling; generalized fast trigonometric transformations; neural network models; Adaptive systems; Digital signal processing; Discrete Fourier transforms; Discrete cosine transforms; Network synthesis; Neural network hardware; Neural networks; Neurons; Signal processing algorithms; Testing; Digital signal processing; generalized trigonometric transformations; neural networks; unified algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
  • Conference_Location
    Lviv-Slavsko
  • Print_ISBN
    966-553-507-2
  • Type

    conf

  • DOI
    10.1109/TCSET.2006.4404530
  • Filename
    4404530
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2397597