correl

数字图像处理，冈萨雷斯著，一本很好的书，值得一看！而且本书为MATLAB版本，很具有参考价值。(Digital Image Processing, Gonzalez' s book, a very good book, worth a visit! And for the MATLAB version of the book, it is a reference value.)

Training software for Markov Random Fields used at INRA

这是LBG的matlab程序 写在Word里 里面有相应的程序实现目的 方法步骤 和思路(This is the LBG matlab program written in Word, there are appropriate procedures to achieve the purpose of the method steps and ideas)

GMDH Neural Network Implementation

matlab SVM及ANN预测，这里是源代码，这里是源代码，这里是源代码(SVM and ANN prediction, here is the source code, the source code, here is the source code.)

经验模态分解（EMD）程序，EMD主要用于信号分解。(Empirical Mode Decomposition (EMD) program, EMD is mainly used for signal decomposition.)

this mfile is riten in matlab and is related to mirtoolbox

计算mie散射中的散射系数，an，bn，cn，dn 在研究粒子散射问题时很关键(Mie scattering in calculating the scattering coefficient, an, bn, cn, dn in the study of particle scattering problem is critical)

提取信号七个基于瞬时信息的特征：零中心归一化瞬时幅度功率谱密度的最大值,零中心归一化瞬时幅度绝对值的标准偏差，零中心非弱信号段瞬时相位非线性分量绝对值标准偏差，零中心非弱信号段瞬时相位非线性分量标准偏差，零中心归一化的非弱信号段瞬时频率绝对值的标准偏差，一个信号段的归一化瞬时频率功率谱密度的最大值，根据信号 QPSK 和16QAM在 XI 轴投影的不同表现，提出特征参数。(extract information based on the instan eous features : In the center is one of the instantaneous rate of the power spectral density of the maximum, is a center to the absolute value of the instantaneous rate of the standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component absolute standard deviation, Non-zero weak signal instantaneous phase of the nonlinear component standard deviation, In the center is one of the non-weak signal of the absolute value of the instantaneous frequency standard deviation, a signal to one of the instantaneous frequency of the power spectral density of the maximum, According to 16QAM and QPSK signals XI axis projection in the different performance parameters raised.)

模糊PID控制的matlab仿真模型，已通过试验，课成功运行，主要是用来控制机器人自动导航。(Matlab simulation model based on fuzzy PID control, has passed the test, lesson successful operation, is mainly used to control the robot autonomous navigation.)