Using a Parallel plot, PCA and Nonparametric Scatterplot Matrix to Study the Evolution in Time of a Multivariate Industrial Process.
运用平行图、主成分分析和非参数散点图矩阵等方法，研究多变量工业流程在时域内的变化规律。
A novel method for optimizing the principle component analysis in feature extraction is proposed, which making use of parallel coordinate plot for graphical presentation of multivariate information.
本文提出一种利用平行坐标图的多元信息表示对主成分分析特征提取方法进行优化的分类技术。
FPGA using digital signal processing, distributed algorithm plays a key role with the traditional product-plot structure compared with the efficient parallel processing features.
在利用FPGA实现数字信号处理方面，分布式算法发挥着关键作用，与传统的乘积-积结构相比，具有并行处理的高效性特点。
FPGA using digital signal processing, distributed algorithm plays a key role with the traditional product-plot structure compared with the efficient parallel processing features.
在利用FPGA实现数字信号处理方面，分布式算法发挥着关键作用，与传统的乘积-积结构相比，具有并行处理的高效性特点。
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