Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Initial codebook method of vector quantisation in Hadamard domain

Initial codebook method of vector quantisation in Hadamard domain

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

To deal with the problem that the initialisation method based on random selection may provide a suboptimal codebook of vector quantisation (VQ); an improved method is proposed. In the proposed method, Hadamard transform is performed on training vectors, and then the transformed vectors are sorted according to their first elements. The ordered transformed vectors are partitioned into groups. The initial codebook is composed of the mid vector of each ordered group. This method has a better performance and can be used as the initialisation method of VQ to improve and speed up codebook design.

References

    1. 1)
      • H.-M. Feng , C.-Y. Chen , F. Ye . Evolutionary fuzzy particle swarm optimization vector quantization learning scheme in image compression. Expert Syst. Appl. , 213 - 222
    2. 2)
    3. 3)
      • H.W. Sun , K.-Y. Lam , S.-L. Chung , W.M. Dong , M. Gu , J.G. Sun . Efficient vector quantization using genetic algorithm. Neural Comput. Appl. , 203 - 211
    4. 4)
      • C.S. Leung , J. Sum , H. Chan . Improved transmission of vector quantized data over noisy channels. Neural Comput. Appl. , 1 - 9
    5. 5)
      • C.C. Chang , W.C. Wu . Fast planar-oriented ripple search algorithm for hyperspace VQ codebook. IEEE Trans. Image Process. , 6 , 1538 - 1547
    6. 6)
      • S.X. Chen , F.W. Li , W.L. Zhu , T.Q. Zhang . Initial codebook algorithm of vector quantization. IEICE Trans. Int. Syst. , 8 , 2189 - 2191
    7. 7)
    8. 8)
      • S.-E. Qian . Fast vector quantization algorithms based on nearest partition set search. IEEE Trans. Image Process. , 8 , 2422 - 2430
    9. 9)
    10. 10)
      • K.-B. Kim , S. Kim , G.-H. Kim . Vector quantizer of medical image using wavelet transform and enhanced SOM algorithm. Neural Comput. Appl. , 245 - 251
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2010.3573
Loading

Related content

content/journals/10.1049/el.2010.3573
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address