Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 18, Issue 2 (2007)
  4. An Effective Method for Initialization o ...

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • Cited by
  • More
    Article info Related articles Cited by

An Effective Method for Initialization of Lloyd–Max's Algorithm of Optimal Scalar Quantization for Laplacian Source
Volume 18, Issue 2 (2007), pp. 279–288
Zoran Peric   Jelena Nikolic  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2007.177
Pub. online: 1 January 2007      Type: Research Article     

Received
1 September 2006
Published
1 January 2007

Abstract

In this paper an exact and complete analysis of the Lloyd–Max's algorithm and its initialization is carried out. An effective method for initialization of Lloyd–Max's algorithm of optimal scalar quantization for Laplacian source is proposed. The proposed method is very simple method of making an intelligent guess of the starting points for the iterative Lloyd–Max's algorithm. Namely, the initial values for the iterative Lloyd–Max's algorithm can be determined by the values of compandor's parameters. It is demonstrated that by following that logic the proposed method provides a rapid convergence of the Lloyd–Max's algorithm.

Related articles Cited by PDF XML
Related articles Cited by PDF XML

Copyright
No copyright data available.

Keywords
initialization Lloyd–Max's algorithm scalar quantizers

Metrics
since January 2020
943

Article info
views

0

Full article
views

1051

PDF
downloads

217

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy