搜索资源列表
SampEn
- 通过matlab矩阵处理功能实现样本熵的快速计算。-By the matrix processing functions to achieve fast calculation of sample entropy
SampEn
- 优化的样本熵程序，适合于描述时间序列的复杂度-Optimized procedures, suitable for describing the sequence of time complexity of sample entropy
PSO-SampEn--ApproxiEN-RVM
- PSO：粒子群优化算法，用C++和matlab两种语言实现的 RVM:相关向量机，比SVM更高级些 样本熵和近似熵：计算动态系统中时间序列的一个重要手段-PSO: PSO algorithm, using C++ and matlab realization of two languages RVM: relevance vector machine, some more advanced than SVM Sample entropy and approximate ent
SampEn
- 用于计算时间序列的样本熵，一种序列复杂性的度量，非线性参数动力学评估方法- Samples used to calculate the entropy of time series, a complex of measures, nonlinear dynamics parameters Evaluation sequence
entropy
- 计算3种熵Fuzzy_MI.m MPerm.m PE.m SampEn.m，来自matlab中国(Fuzzy_MI.m MPerm.m PE.m SampEn.m)
SampEn
- 模糊熵特征提取 计算信号的复杂度 用于信号识别 故障诊断(Fault diagnosis for signal recognition)
程序
- main_feature.m：为特征提取主要程序,其中调用filter50.m子程序为50HZ工频滤噪；调用ApEn.m c0complex.m kEn_correct.m lyapunov_wolf.m LZC.m spectral_entropy.m SVDen.m SampEn.m子程序为非线性特征（近似熵，C0复杂度，K熵等）提取；wave_brain为小波分析频段特征提取。其中采样频率皆为256HZ。(ApEn.m c0complex.m kEn_correct.m lyapunov_