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从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的
分布统计!利用信号联合概率的方向导数熵最小获得最佳的旋转角度!最终实现盲信号分离:与快速独立分
量分析方法及神经网络方法相比!该方法不需要迭代计算:采用新的盲声源信号分离方法对轴承试验台的混
合声音信号进行识别!将电机和滚动轴承的声音分离出来!进而可以准确识别机械的故障-Blind sound source from the independence of the starting signal
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计算圆形或方向性的数据描述和统计推断。
描述性与推论性统计进行分析对直线和圆形分析-Compute descr iptive and inferential statistics for circular or directional data.
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his book is intended as a reference book for students, professionals and research
workers who need to apply statistical analysis to a large variety of practical
problems using STATISTICA, SPSS and MATLAB. The book chapters provide a
comprehe
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Compute descr iptive and inferential statistics for circular or directional data
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Compute descr iptive and inferential statistics for circular or directional data
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