| 近似熵、互近似熵的性质、快速算法及其在脑电与认知研究中的初步应用 |
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| 引用本文： | 洪波,唐庆玉,杨福生,陈天祥. 近似熵、互近似熵的性质、快速算法及其在脑电与认知研究中的初步应用[J]. 信号处理, 1999, 0(2) |
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| 作者姓名： | 洪波 唐庆玉 杨福生 陈天祥 |
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| 作者单位： | 清华大学电机系(洪波，唐庆玉，杨福生)，香港中文大学心理学系(陈天祥) |
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| 摘 要： | 本文从信号处理的角度介绍了近似嫡、互近似熵的概念、性质与应用，并给出了一种计算近似熵、互近似熵的实用快速算法．本文还通过实际算例说明了近似烟在表征信号的复杂性、互近似熵在表征信号的模式相似性方面的能力及其在脑电与认知研究中的初步应用。
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| 关 键 词： | 近似熵 互近似熵 快速算法 脑电与认知 |
ApEn and Cross-ApEn: Property, Fast Algorithm and Preliminary Application to the Study of EEG and Cognition |
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| Hone Bo,Tang Qingyu,Yang Fusheng. ApEn and Cross-ApEn: Property, Fast Algorithm and Preliminary Application to the Study of EEG and Cognition[J]. Signal Processing(China), 1999, 0(2) |
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| Authors: | Hone Bo Tang Qingyu Yang Fusheng |
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| Abstract: | The conception, properties and application of approxiamte entropy (ApEn) and cross approximate entropy (Cross--ApEn) are discussed from the view of signal proessing, and a practical fast algorithm is introduced. Several examples are employed to evaluate the potential application of ApEn to quantifying the complexity and Cross--ApEn to quantifying the pattern similarity of time series. Some initial results of its application to the study of EEG and cognition are given. |
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| Keywords: | approxiamte entropy(ApEn) Cross approximate entropy(CrossApEn) Fast algorithm EEG and cognition |
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