• DocumentCode
    1161562
  • Title

    Comments on "On a novel unsupervised competitive learning algorithm for scalar quantization"

  • Author

    Andrew, L.L.H.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
  • Volume
    7
  • Issue
    1
  • fYear
    1996
  • Firstpage
    254
  • Lastpage
    256
  • Abstract
    This note propose an alternative to a neural network for designing scaler quantizers proposed by Van Hulle and Martinez (ibid., vol.5, p.498-501, May 1994). It also points out that the performance measure used is of limited applicability.
  • Keywords
    neural nets; quantisation (signal); unsupervised learning; neural network; scalar quantization; unsupervised competitive learning algorithm; Algorithm design and analysis; Australia; Backpropagation algorithms; Entropy; Neural networks; Partitioning algorithms; Quantization; Scholarships; Statistics; Training data;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.478412
  • Filename
    478412
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1161562