中文说明：是学习PCA特征提取的很好的学习资料，实现典型相关分析，数学方法是部分子空间法，处理信号的时频分析，可以实现模式识别领域的数据的分类及回归，仿真效果非常好，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。
English Description：
It is a good learning material to learn PCA feature extraction and realize canonical correlation analysis. The mathematical method is partial subspace method. The time-frequency analysis of signal processing can realize the classification and regression of data in the field of pattern recognition. The simulation effect is very good, including photovoltaic cell module, MPPT module, boost module and inverter module.