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一种简单有效的测度熵替代方法——近似熵(approximate entropy)方
法.应用以上方法对Logistic映射复杂度进行了分析.结果表明Lyapunov指数和测度熵的值与复
杂度基本呈线性关系,分维数与复杂度的函数关系尚难确定,且与Lyapunov指数、测度熵之间的关
系也不明确.
- Approximate entropy (ApEn) method
is also studied. They are applied to analyze the complex
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基于MATLAB的近似熵程序,主要用与生物信号的检测,主要用于生物医疗工程的信号处理方面-matlab program for calculating approximate entropy in biomedical signal processing especially.
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This program calculates Approximate Entropy of a given time series. Approximate Entropy is a statistic which is used to predict the regularity in agiven time series. Apen( Approximate entropy ) is a recently developed method highly used in biomedical
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This is approximate entropy and sample entropy article.
It will be helpful for motor behavior and rehabilitation study.
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approximate entropy is used to exmaing the one dimensional signals correaltion
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To estimate approximate entropy for EEG signal or time series data
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Code for computing the Approximate Entropy of time Series. ApEn is a measure of the degree of regularity (very regular (sinusoid) vs. chaotic) of the time series.The program contains several "test examples" inside.
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EEG近似熵计算程序，便于计算脑电信号 一种简单有效的测度熵替代方法——近似熵(approximate entropy)方法-EEG approximate entropy calculation program, facilitate the calculation of EEG
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熵算法在脑电处理用的应用的几篇文章
基于排列组合熵的脑电信号睡眠分期研究
基于小波变换与近似熵的睡眠分期研究
睡眠脑电的关联维数和样本熵分析 等-EEG entropy algorithm in the application used for treatment of several articles based on permutation entropy of EEG sleep stages and the approximate entropy based on wavel
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how to process files in batches in matlab and applications of Approx entropy
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样本熵是一种有别于近似熵的不计数自身匹配的统计量，是对于近似熵算法的改进。样本熵与近似熵的物理意义一样，表示非线性动力学系统产生新模式概率的大小，主要用来定量刻画系统的规则度及复杂度。样本熵值越低，序列自我相似性越高，产生新模式的概率越低，时间序列越简单；反之，样本熵值越大，序列自我相似性越低，产生新模式的概率越高，时间序列越复杂。样本熵计算用程序VB6.0语言实现。-Sample entropy is different from the research and development o
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近似熵是系统复杂性测度很有效的一种方法，在医学、机械设备故障的诊断等方面得到广泛应用。近似熵复杂性测度具有计算简便，对时间序列长度等条件要求相对较低等优点，因而更具有实用价值，是水文非线性系统领域中的新型工具。-Approximate entropy is a measure of system complexity, a very effective way, in medicine, the diagnosis of mechanical equipment failures, etc. a
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近似熵是系统复杂性测度很有效的一种方法，在医学、机械设备故障的诊断等方面得到广泛应用。近似熵复杂性测度具有计算简便，对时间序列长度等条件要求相对较低等优点，因而更具有实用价值，是水文非线性系统领域中的新型工具。-Approximate entropy is a measure of system complexity, a very effective way, in medicine, the diagnosis of mechanical equipment failures, etc. a
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混沌时间序列分析所用的近似商的计算方法，可算出学列中的近似熵。-approximate entropy
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近似熵的计算，matlab编程，近似熵的定义以及内部解释-approximate entropy
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可以在多尺度熵对时间序列进行复杂性度量。较近似熵、样本熵好-Multiscale entropy can be time-sequence complexity metrics. Better than approximate entropy, sample entropy
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熵（近似熵，样本熵）,适合初学者。值得一看-Entropy (entropy of approximate entropy, sample), suitable for beginners. Worth a look...
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近似熵的主函数 近似熵文章推荐
matlab 源程序-The main function of approximate entropy approximate entropy articles recommended matlab source
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通过近似熵函数 提取数据特征并画出曲线，可以直接运行-By approximate entropy feature extraction data and draw the curve, you can directly run
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用于计算互近似熵，互近似熵是两个信号之间不同步的量度。模糊熵与互信息(It is used to calculate the mutual approximate entropy, and the mutual approximate entropy is a measure of the non synchronization between the two signals)
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