Transmission of vector quantized data over a noisy channel

  • Authors:

  • Chi-Sing Leung;Lai-Wan Chan

  • Affiliations:

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

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 1997

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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