| 基于数据挖掘的信号分离技术研究 |
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| 引用本文： | 张少刚. 基于数据挖掘的信号分离技术研究[J]. 自动化与仪器仪表, 2010, 0(4): 21-22 |
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| 作者姓名： | 张少刚 |
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| 作者单位： | 天水师范学院物理与信息科学学院,甘肃天水,741001 |
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| 基金项目： | 甘肃省教育厅硕士生导师基金 |
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| 摘 要： | 信号的准确可靠接收是非常重要的,然而信号在产生和传输过程中,要受到各种干扰噪声的污染,需要进行信号的分离。总结了数据挖掘中聚类算法的研究现状,分析比较了它们的差异。提出了基于数据挖掘的信号处理算法,通过实例证明了该技术的实用性和有效性。
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| 关 键 词： | 盲信号分离 信号重构 数据挖掘 聚类 |
Signal separation technology research based on data mining |
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| Zhang Shao-gang. Signal separation technology research based on data mining[J]. Automation & Instrumentation, 2010, 0(4): 21-22 |
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| Authors: | Zhang Shao-gang |
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| Affiliation: | Zhang Shao-gang |
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| Abstract: | It is important that signal is carrier and transmitter of.However,the observed signal is usually contaminated by stochastic noise,signals and needed to be separated.It provides a detailed survey of current clustering algorithms in Data Mining at first,then it makes a comparison among them.Some significant algorithms based on Data Mining are proposed.The technology is proved that it is practicability,efficiency through example. |
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| Keywords: | Blind signal separation Signal reconstruction Data mining Clustering |
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