Transmission of vector quantized data over a noisy channel

Author

Leung, Chi-sing ; Chan, Lai-Wan

Author_Institution

Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong

Volume

8

Issue

3

fYear

1997

fDate

5/1/1997 12:00:00 AM

Firstpage

582

Lastpage

589

Abstract

In the transmission of vector quantized data, the vector quantizer and the communication system are usually designed separately. With such an approach, the channel noise results in significant degradations in the performance of the vector quantizer. To solve this problem, we should properly create the mapping from the codebook of the quantizer to the channel signal set of the communication system. This paper proposes a new approach to construct such a mapping based on the ordering property of the self-organizing feature map (SOFM). We use the neighborhood structure of the SOFM and the neighborhood structure of the channel signal set to construct the mapping. Simulation results confirm that the proposed approach is robust with respect to channel noise

Keywords

data communication; noise; self-organising feature maps; telecommunication channels; vector quantisation; channel signal; codebook; communication system; data transmission; neighborhood structure; noisy channel; self-organizing feature map; vector quantization; Algorithm design and analysis; Bit rate; Decoding; Degradation; Helium; Modulation coding; Noise reduction; Noise robustness; Signal mapping; Vector quantization;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/72.572097

Filename

572097