With an appropriate state space neighbour for the nonlinear local analysis, the short_delay predictor is also able to effectively model the long_term correlation without pitch estimation.
用合适的状态空间邻近矢量进行非线性局部分析，即使没有基音周期估计，短时预测器同样能建立长时相关性模型。
After finishing the analysis of correlation parameter, we construct the model of fund distributing, and seek the satisfying solve of the problem with Nonlinear programming.
在完成相关参数的分析后，构造经费分配的数学模型，运用非线性规划，求问题的满意解。
As principal component analysis mainly use the linear correlation of the data, we propose a nonlinear principal component analysis method, by combining the mercer kernel function with it.
主成分分析方法主要利用数据的线性相关性来降维，并不适合非线性相关的情况。
Result shows that the method is effective to discriminate linear and nonlinear correlation characteristics in a comparatively long data series, and suitable for analysis of complex ocean data.
结果表明，在数据资料较长时，该方法能有效判定数据序列的线性、非线性相关特征，特别适合于复杂的海洋数据资料分析。
It is known by the analysis and comparison of so many ratio schemes that among them exist the relations of linear function, nonlinear function and correlation.
分析众多的比值方案可知，它们之间有着线性、非线性函数关系及不同程度的相关关系。
The signal analyzing part can complete the following work such as preprocessing, correlation analysis, frequency spectrum analysis and chaos analysis for nonlinear vibration signals.
振动信号分析处理部分可以对信号进行预处理及相关分析、频谱分析和非线性信号的混沌分析等。
Kernel Canonical Correlation Analysis (KCCA) is a recently addressed supervised machine learning methods, which is a powerful approach of extracting nonlinear features.
针对该问题，采用核典型相关分析方法进行原始特征的二次提取，得到简约而重要的二次特征。
Kernel Canonical Correlation Analysis (KCCA) is a recently addressed supervised machine learning methods, which is a powerful approach of extracting nonlinear features.
针对该问题，采用核典型相关分析方法进行原始特征的二次提取，得到简约而重要的二次特征。
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