IDW距离反比加权方法，用于特征降维，特征融合，相关分析等,各种kalman滤波器的设计，保证准确无误，是学习通信的好帮手，自己编的5种调制信号，独立成分分析算法降低原始数据噪声，应用小区域方差对比，程序简单，多抽样率信号处理。- IDW inverse distance weighting method, For feature reduction, feature fusion, correlation analysis, Various kalman filter design, Ensure accurate communication is learning a good helper, Own five modulation signal, Independent component analysis algorithm reduces the raw data noise, Application of small area variance comparison, simple procedures, Multirate signal processing.