In this paper, autocorrelation function method is used to analyze pressure fluctuant signals and an right judgment of combustion condition can be obtained from autocorrelation analysis curves.
本文利用自相关函数分析燃烧过程的压力脉动信号，并根据不同燃烧状况下压力脉动自相关曲线对燃烧状况作出正确判断。
The drawback on the autocorrelation function method is analyzed, and the autocorrelation function method is improved to determine the value of the generalized embedding Windows and other parameters.
分析已有的自关联函数法中的不足，提出一种改进的自关联函数法确定广义嵌入窗长，从而确定出相空间重构的其它参数。
To validate the independency of data, we can using the average autocorrelation function of error swatch, it can also offer thereunder to ameliorate the method of disposing data.
利用误差样本平均归一化自相关函数，可以对所抽取的数据独立性进行验证，同时为改进数据处理方法提供依据。
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