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| 用模糊聚类神经网络设计图象矢量量化码书 | |
| 引用本文： | 徐勇,邓小英,陈贺新,戴逸松. 用模糊聚类神经网络设计图象矢量量化码书[J]. 吉林大学学报(信息科学版), 1997, 0(3) |
| 作者姓名： | 徐勇 邓小英 陈贺新 戴逸松 |
| 作者单位： | 长春邮电学院科技处，吉林工业大学 |
| 摘 要： | 讨论了一种模糊聚类神经网络模型，给出了将该模型用于图象矢量量化码书设计的学习算法。实验结果表明，模糊聚类神经网络可以为图象矢量量化压缩编码提供一种新的码书设计方法。 |
| 关 键 词： | 图象压缩；矢量量化编码；神经网络；模糊聚类 |
DSP constructive algorithm of chaotic stochastic signal generator |
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| Jing Tao. DSP constructive algorithm of chaotic stochastic signal generator[J]. Journal of Jilin University:Information Sci Ed, 1997, 0(3) | |
| Authors: | Jing Tao |
| Abstract: | A DSP(digital signal processing) constructive algorithm of chaotic stochastic signal generator is proposed.It is found that,with the support of transference techniques of attractors and orbits,this algorithm can be used to eradicate the effect of false periodicity and output discord resulted from the calculating round off error.Thus the generated chaotic output series would be utilized in computer network secret communications. |
| Keywords: | Secret communications Random signals Chaos |
| 本文献已被 CNKI 等数据库收录！ | |