主同步信号PSS在时域上的相关仿真，用于特征降维，特征融合，相关分析等,独立成分分析算法降低原始数据噪声，基于互功率谱的时延估计，基于kaiser窗的双谱线插值FFT谐波分析，有详细的注释，是学习PCA特征提取的很好的学习资料。- PSS primary synchronization signal in the time domain simulation related, For feature reduction, feature fusion, correlation analysis, Independent component analysis algorithm reduces the raw data noise, Based on the time delay estimation of power spectrum, Dual-line interpolation FFT harmonic analysis kaiser windows, There are detailed notes, Is a good learning materials to learn PCA feature extraction.