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说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

经典的基本PSO粒子群优化算法的测试函数，包括主程序和测试函数，非常经典(The classic PSO basic particle swarm optimization test functions, including the main program and test functions, very classic)

对近红外光谱使用最小二乘算法建立预测模型(Use of Near Infrared Spectroscopy least squares algorithm to build prediction models)

Independent Component Analysis Play a Role in Unmixing Hyperspectral Data(This paper studies the impact of hyperspectral source statistical dependence on ICA and IFA performances)

无线与移动通信中MIMO-OFDM系统2*1天线选择的matlab仿真与实现(Matlab simulation and implementation of MIMO-OFDM System 2* 1 antenna selection in wireless communication and mobile)

基于MATLAB的doa估计的信道估计模型仿真，(Based on MATLAB doa estimated channel estimation model simulation,)

用MATLAB计算正弦波的波形数据.并产生.H档案(Calculated using MATLAB sine wave of waveform data. And produce. H file)

digital modulations like BPSK QAM QPSK

MUSIC算法DOA估计与信噪比的关系模拟2个独立窄带信号分别以20°，60°的方向入射到均匀线阵上，信号间互不相关，与噪声相互独立，噪声为理想高斯白噪声，阵元数为10，阵元间距为入射信号波长的1／2，快拍数为200，信噪比分别为-20dB，0dB，20dB。(MUSIC DOA estimation algorithm relationship with SNR)

Unicode,GB2312编码表映射全集，包含各种对应表，对照表分析和统计(Unicode,GB2312)