Title :
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
fDate :
5/1/1997 12:00:00 AM
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;
Journal_Title :
Neural Networks, IEEE Transactions on