A nonlinear filtering method based on principle component analysis (PCA) was proposed according to the statistical characteristics of the Doppler ultrasound blood flow signal and wall thump signal.
根据超声多普勒血流信号和血管壁搏动信号的统计特性，提出了一种基于主元分析的非线性滤波方法。
As to the complicated nonlinear relation existing between running status of gear reducer and characteristic parameters, PCA-based RBF neural network reducer running status diagnostics is put forward.
针对减速箱运行状态和特征参数之间存在的复杂非线性关系，提出了基于主成分分析的RBF神经网络减速箱运行状态诊断方法。
The results of PCA and DPC show that the sampling data have a remarkable nonlinear structure.
PCA和DPC分析结果表明，取样数据具有明显的非线性结构。
An improved PCA arithmetic model is applicable to nonlinear plant thermal processes using local PCA model for various power loads based on the historical data.
为了使基于PCA的传感器故障检测和重构方法适用于非线性较严重的热工过程，对该方法进行了有效的改进。
DVE can be viewed as the nonlinear counterpart of PCA, and also be viewed as a variant of MVU that relaxes the strict distance-preserving constraints.
DVE可以看作是PCA算法的非线性扩展，同时也可以看作是对MVU算法严格局部等距约束的松弛改进。
DVE can be viewed as the nonlinear counterpart of PCA, and also be viewed as a variant of MVU that relaxes the strict distance-preserving constraints.
DVE可以看作是PCA算法的非线性扩展，同时也可以看作是对MVU算法严格局部等距约束的松弛改进。
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