搜索资源列表
ApEn
- 针对时间序列的复杂性测试，实现近似熵算法，可以分析确定信号和随机信号-time series against the complexity of testing, achieving approximate entropy algorithm, can be analyzed to determine signal and random signals
apen
- 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
ApEn
- To estimate approximate entropy for EEG signal or time series data
apen
- 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.
yapunov-exponent
- Approximate entropy analysis of biological signals of the advantages of time series parameters of the approximate entropy, ApEn describes the application of the medical situation and prospects. Methods: According to the definitions and algorithms, in
jinsishang
- 近似熵m文件 保证正确运行 绝不骗人-ApEn m file to ensure correct operation will not lie
ApEn
- 实现近似熵算法。可以根据需要对程序进行必要地修改。-Achieve approximate entropy algorithm. Can carry out the necessary procedures needed to modify.
per_entr
- Contain two matlab code : - ApEn and per_entr to calculate entropy of permutation
APEN
- 样本熵是时间序列复杂度的一种度量, 在上个世纪末期由几位非线 性动力学研究者提出。样本熵比近似熵更具有相对一致性-Sample entropy is a measure of the complexity of the time series, at the end of the last century by several non-linear dynamics researchers. Sample entropy more than approximate entropy relati
apen
- 利用近似熵进行时间序列的变异检测，非常好用-approximate entropy，variation
ApEn-approx_entropy
- ApEn approx_entropy 两种计算近似熵的算法，一个程序简洁明了，一个从基本原理分布算起便于理解，亲自调试，都通过程序验证，结果一致，替换数据即可使用-Approximate entropy algorithm the ApEn approx_entropy two calculations, a program concise, counting a distribution from the basic principles of ease of understanding,
APEN
- 近似熵是一种衡量衡量非线性时间序列复杂性的非线性动力学分析方法，其物理意义 为熵值越大，时间序列的自我相似性越低，序 列越复杂，反之序列自我相似性越高；并且样 本熵对于序列长度依赖弱，仅需较短的数据就 能够得到稳健的熵值，同时其计算不需对数据 粗粒化，具有较好的抗干扰能力-Approximate entropy is a measure to measure the complex nonlinear dynamics of nonlinear time serie
apen
- 这是一个计算近似熵的程序，后续开发可以通过控制维度m调节搜索最佳评价维度。-This is a program to calculate approximate entropy.you can control dimension to search the best uation dimensions for deeper study.
ApEn
- 基于MATLAB的编写的近似熵算法ApEn，还可以进行后续改进，如快速近似熵算法。-Prepared based on approximate entropy MATLAB algorithm ApEn, it can also be subsequent improvements, such as fast approximate entropy algorithm.
APEN
- 该程序用于计算多种生理信号的非线性特征近似熵，对于解决提取特征提供了便利-The program is used to calculate a variety of physiological signal of the nonlinear characteristic of approximate entropy, to solve the extracted features convenience,,,,
ApEn
- this code extract approximate entropy non-stationary signal-this code extract approximate entropy non-stationary signal
ICEEMD_ApEn
- ICEEMD-ApEn代码，包括ICEEMD源码，并结合近似熵筛选IMFs-Code of ICEEMD-ApEn, including ICEEMD source code combine Aproximate Entropy to IMFs
ApEn
- 计算一维时间序列的近似熵值，纯手工编写，嵌入维度固定在2维，交流交流-Calculate the approximate entropy of one-dimensional time series, hand written, embedded dimension fixed in 2 dimensions