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AR模型地震信号的FUZZY分类
Fuzzy Classification for Seismic Signals of AR Model
【摘要】 本文基于一种新的FUZZY聚类方法(FUZZY PFS聚类法)对地震信号作了分类试验,获得了良好的结果。首先对地震信号进行了AR模型拟合,模型系数构成了信号的特征集,再应用KL变换对特征集进行压缩,最后对信号作分类。
【Abstract】 This paper presents a classification test for seismic signals based on new fuzzy clustering method (fuzzy PFS clustering method) . A good result is obtained. At first, the Seismic Signals are fitted by AR models, coefficents of which form a feature set of signals. Than the feature set are compressed by using K-L transform. The Signals are Classified at last.
- 【文献出处】 信号处理 ,Signal Proccessing , 编辑部邮箱 ,1985年04期
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