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Design of trellis coded vector quantizers using Kohonen maps

delete1999-07-01
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C
Chi-Sing Leung
L
Laiwan Chan
DOI:10.1016/S0893-6080(99)00036-2delete
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Abstract

Abstract

En 中文
Although the performance of trellis coded vector quantizers (TCVQs) is much better than that of conventional memoryless vector quantizers. designing the trellis in TCVQs has a certain amount of computational overhead. In this paper, we apply Kohonen maps to simplify the design process of the TCVQs by exploiting the ordering property of Kohonen maps. This new implementation of the TCVQs is named as trellis coded Kohonen maps (TCKMs). Simulation results show that, with such a simple design process, the performance of the TCKMs is still comparable to that of the conventional TCVQs. (C) 1999 Elsevier Science Ltd. All rights reserved.
Keywords:
Kohonen maps
trellis coded vector quantizers
neighborhood structure
ordering property
vector quantization
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Journal

Neural Networks cover
Neural Networks
IF:
6.3
Papers:
7.8K
Citations:
3.0W

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