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A two stage vector quantization approach via self-organizing map

Xu, Lixin, Liu, W. Q. and Venkatesh, Svetha 2002, A two stage vector quantization approach via self-organizing map, in ICSP' 02 : 6th International Conference on Signal Processing proceedings, IEEE, Piscataway, N. J., pp. 913-916, doi: 10.1109/ICOSP.2002.1181205.

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Title A two stage vector quantization approach via self-organizing map
Author(s) Xu, Lixin
Liu, W. Q.
Venkatesh, Svetha
Conference name International Conference on Signal Processing (6th : 2002 : Beijing, China)
Conference location Beijing, China
Conference dates 26-30 Aug. 2002
Title of proceedings ICSP' 02 : 6th International Conference on Signal Processing proceedings
Editor(s) Baozong, Yuan
Xiaofang, Tang
Publication date 2002
Conference series International Conference on Signal Processing
Start page 913
End page 916
Total pages 4
Publisher IEEE
Place of publication Piscataway, N. J.
Keyword(s) code standards
computer networks
convergence
data compression
distortion measurement
euclidean distance
neural networks
nonlinear distortion
organizing
vector quantization
Summary In this paper, a two-stage algorithm for vector quantization is proposed based on a self-organizing map (SOM) neural network. First, a conventional self-organizing map is modified to deal with dead codebooks in the learning process and is then used to obtain the codebook distribution structure for a given set of input data. Next, subblocks are classified based on the previous structure distribution with a prior criteria. Then, the conventional LBG algorithm is applied to these sub-blocks for data classification with initial values obtained via the SOM. Finally, extensive simulations illustrate that the proposed two-stage algorithm is very effective.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780374886
Language eng
DOI 10.1109/ICOSP.2002.1181205
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2002, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044861

Document type: Conference Paper
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.