Extraction of a source signal whose kurtosis value lies in a specific range
Extraction of a source signal whose kurtosis value lies in a specific range
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DOI：
10.1016/j.neucom.2005.07.002
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发表时间：
2006-03
期刊：
影响因子：
6
通讯作者：
Zhi-Lin Zhang;Zhang Yi
中科院分区：
文献类型：
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作者：
Zhi-Lin Zhang;Zhang Yi
在许多应用中，从观测信号中提取感兴趣的源信号是比同时分离所有源信号更可行的方法，因为后者通常花费大量计算时间并且通常是不必要的。如果期望的源信号具有某些特定的性质，那么我们可以利用这些性质来设计有效的源提取算法。这封信提出了一种算法，它提取的期望信号与先验知识的统计。也就是说，如果我们知道期望信号的峰度值所在的范围内，我们可以使用该算法来提取它。通过计算机仿真和真实世界的ECG数据实验证实了所提出的方法的有效性和性能。
In many applications extraction of source signals of interest from observed signals is a more feasible approach than simultaneous separation of all the source signals, since the latter often costs lots of computing time and often is not necessary. If the desired source signals have some specific properties, then we can exploit these properties to design effective source extraction algorithms. This letter proposes an algorithm, which extracts the desired signal with a priori knowledge about its statistics. That is to say, if we know the range in which the kurtosis value of the desired signal lies, we can use this algorithm to extract it. The validity and performance of the proposed approach are confirmed through computer simulations and experiments on real-world ECG data.