本文根据历史地震资料按最大熵谱方法对全球及全球各地震区强震活动的时间序列进行了分析。
Based on the historical seismic data, we have analysed the time sequence of the global and regional strong earthquake activities by using the maximum entropy spectrum method.
本文研究符号空间中由零拓扑熵序列组成的集合。
In this paper, we study the set of sequences of topological entropy zero in the symbolic space.
该方法将语谱图输入到PCNN后得到输出图像的时间序列及其熵序列作为说话人语音的特征,利用它的不变性实现说话人识别。
Using the invariable characteristics of PCNN time series and entropy series of Spectrogram, people can extract the feature of speakers speech and recognize the speakers rapidly and effectively.
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