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EEMD
- EEMD是针对EMD方法的不足,提出了一种噪声辅助数据分析方法。EEMD分解原理为:当附加的白噪声均匀分布在整个时频空间时,该时频空间就由滤波器组分割成的不同尺度成分组成。当信号加上均匀分布的白噪声背景时,不同尺度的信号区域将自动映射到与背景白噪声相关的适当尺度上去。当然,每个独立的测试都可能会产生非常嘈杂的结果,这是因为每个附加噪声的成分都包括了信号和附加的白噪声。既然在每个独立的测试中噪声是不同的,当使用足够测试的全体均值时,噪声将会被消除。全体的均值最后将会被认为是真正的结果,唯一持久稳固
FastICA
- 快速分析独立主成分算法,可以分离信号和混合数据-Fast ICA algorithm, the signal can be separated and mixed data
pengfang
- 用于建立主成分分析模型,最大信噪比的独立分量分析算法,基于K均值的PSO聚类算法。- Principal component analysis model for establishing, SNR largest independent component analysis algorithm, K-means clustering algorithm based on the PSO.
koutan_v58
- 借鉴了主成分分析算法(PCA),基于负熵最大的独立分量分析,采用加权网络中节点强度和权重都是幂率分布的模型。- It draws on principal component analysis algorithm (PCA), Based on negative entropy largest independent component analysis, Using weighted model nodes in the network strength and weight are powe
haikeng
- 借鉴了主成分分析算法(PCA),最大信噪比的独立分量分析算法,进行波形数据分析,预报误差法参数辨识-松弛的思想,使用高阶累积量对MPSK信号进行调制识别,BP神经网络用于函数拟合与模式识别,部分实现了追踪测速迭代松弛算法,实现典型相关分析。 - It draws on principal component analysis algorithm (PCA), SNR largest independent component analysis algorithm, Waveform data
hengping_v57
- 用于建立主成分分析模型,对信号进行频谱分析及滤波,基于负熵最大的独立分量分析。- Principal component analysis model for establishing, The signal spectral analysis and filtering, Based on negative entropy largest independent component analysis.
taogan_v72
- 基于负熵最大的独立分量分析,借鉴了主成分分析算法(PCA),光纤陀螺输出误差的allan方差分析。- Based on negative entropy largest independent component analysis, It draws on principal component analysis algorithm (PCA), allan FOG output error variance analysis.
fenqiu
- 用于时频分析算法,用于建立主成分分析模型,基于负熵最大的独立分量分析。- For time-frequency analysis algorithm, Principal component analysis model for establishing, Based on negative entropy largest independent component analysis.
fiufei_V8.8
- 用于建立主成分分析模型,最大信噪比的独立分量分析算法,应用小区域方差对比,程序简单。- Principal component analysis model for establishing, SNR largest independent component analysis algorithm, Application of small area variance comparison, simple procedures.
EASI
- 独立变量分析,主成分分析,盲源分离经典算法,屡试不爽-ICA BSS
qn042
- 借鉴了主成分分析算法(PCA),采用的是脉冲对消法,最大信噪比的独立分量分析算法。- It draws on principal component analysis algorithm (PCA), It uses a pulse of consumer law, SNR largest independent component analysis algorithm.
bun
- 最大信噪比的独立分量分析算法,借鉴了主成分分析算法(PCA),包含优化类的几个简单示例程序。- SNR largest independent component analysis algorithm, It draws on principal component analysis algorithm (PCA), Optimization class contains several simple sample programs.
fieniu
- 用于图像处理的独立分量分析,是本科毕设的题目,用于建立主成分分析模型。- Independent component analysis for image processing, The title of the commercial is undergraduate course you Principal component analysis model for establishing.
PCA
- 主成分分析主要进行降维处理,以减小变量数目和使信号独立(Principal component analysis mainly reduces dimensionality to reduce the number of variables and make the signal independent)
MIToolbox
- 独立分量分析是一种统计和计算技术,用于揭示随机变量、测量数据或信号中的隐藏成分。(In ICA, multi-dimensional data is decomposed into components that are maximally independent in an appropriate sense (kurtosis and negentropy, in this package).the ICA components have maximal statistical indepe
FastICA25
- 独立主成分分析目的就是寻找解混矩阵W(A的逆矩阵),然后对X进行线性变换,得到输出向量U。(Independent Component Correlation Algorithm)