Design of trellis coded vector quantizers using Kohonen maps

被引：4
作者：
Leung, CS [1 ]
Chan, LW
机构：
[1] City Univ Hong Kong, Dept Elect Engn, Kowloon, Peoples R China
[2] Chinese Univ Hong Kong, Dept Comp Sci, Shatin, NT, Peoples R China
来源：
NEURAL NETWORKS | 1999年 / 12卷 / 06期
关键词：
Kohonen maps; trellis coded vector quantizers; neighborhood structure; ordering property; vector quantization;
D O I：
10.1016/S0893-6080(99)00036-2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：907 / 914
页数：8
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