SGA

数据挖掘的新方法－支持向量机书中算法例子，对学习有帮助。(new data mining methods-book support vector machine algorithm example, to learn helpful.)

谱估计 (1)修正协方差法 (2)多重信号分类（MUSIC）算法 (3)ESPRIT算法 (4)皮萨论科（Pisarenko）谐波分解法 并对各算法进行分析。 解压后即可在MATLAB上运行(Spectral estimation (1) modified covariance method (2) multiple signal classification (MUSIC) algorithm (3) ESPRIT algorithm (4) pizza on the Branch (Pisarenko) harmonic decomposition method and algorithm analysis. After decompression can be run in MATLAB)

对H矩阵进行高斯消元，另外附加了高斯消元的论文(The H matrix using the Gauss elimination, an additional Gauss elimination of papers)

face recognition code using lbp ltp features

Addition and multiplication of signals may favour Quality improvement, such as noise reduction, image enhancement, and echo cancellation

optimization program

说明：  optimal P and Q of DG(disributed generator)

用模糊预测混沌时间序列预测方法的matlab程序，很好用(Mackey-Glass Time Series Forecasting using Method 1 Single Stage Fuzzy Forecaster)

model of GW transport test in matlab

元胞自动机沙土模型，matlab仿真代码，非常有参考价值。能成功实现。(The cellular automata sand model matlab simulation code, very valuable reference. Can be successfully realized.)