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。
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.
在混合激励线性预测低速率语音编码研究中，提出了一种新的归一化自相关函数实时基音检测算法。
In the research of mixed excitation linear prediction speech coding, a new real-time normalized correlation function pitch detection algorithm is proposed.
但是真实地震动的归一化自相关函数则有一较显著的随机噪声项，这个随机噪声的幅值为0。15左右，这就是本文中所说的超随机特性。
But the normalized auto-correlation of real seismic acceleration record comprises an obviously random noise with amplitude value of 0.15 or so, that is so called super random content.
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