control-network-adjustment

说明：  新独立分量分析的算法，主要用于盲信号的分离计算(The newly independent component analysis algorithms, mainly for blind signal separation of the calculation)

一个关于动力学知问题的程序,用来求解其方程(Here we present some MATLAB programs which solve the second problem of Dynamics )

C#小波分析源程序，不同于matlab，完全底层的代码(C# source wavelet analysis, unlike matlab, full underlying code)

MATLAB智能算法30个案例分析 源代码(MATLAB intelligent algorithm analysis of 30 cases the source code)

这个函数也要被melcepst函数调用，用来进行计算Mel倒谱系数。这个函数的作用是构造mel滤波器组。(This function must be called melcepst function is used to calculate Mel cepstral coefficients. The role of this function is to construct mel filter bank.)

运动估计块匹配算法 以下是工程中m文件的简单注释： main.m 可通过主函数调用各种基本的块匹配算法 FullSearch.m 全搜索法（又称为Exhaustive Search） ThreeStepSearch.m 三步搜索法（Three Step Search） NewTSS.m 新三步搜索法（New Three Step Search Algorithm） SESTSS.m 简便高效的三步搜索法（Simple And Efficient TSS） FourSS.m 四步搜索法（Four Step Search） DS.m 菱形搜索法（Diamond Search） ARPS.m 自适应路径搜索法（Adaptive Root Pattern Search） costFuncMAD.m 绝对误差均值函数 minCost.m 宏块间代价最小块 motionComp.m 图像重建 imgPSNR.m 计算图像的PSNR值(Block matching motion estimation algorithm The following is a simple project m file comments: main.m calls through the main function of basic block matching algorithm FullSearch.m full search method (also known as the Exhaustive Search) ThreeStepSearch.m three-step search method (Three Step Search) NewTSS.m new three-step search method (New Three Step Search Algorithm) SESTSS.m simple and efficient three-step search method (Simple And Efficient TSS) FourSS.m four-step search method (Four Step Search) DS. m diamond search method (Diamond Search) ARPS.m adaptive path search method (Adaptive Root Pattern Search) costFuncMAD.m mean absolute error between the cost of the function minCost.m macroblock most small motionComp.m calculated image reconstruction imgPSNR.m image PSNR value)

Matlab在图像处理与目标识别 这个是对细胞的识别(Matlab image processing and target recognition this is the identification of cells)

三相异步电机转差频率矢量控制模型，通过spw正弦脉冲调制控制逆变器(Three-phase induction motor slip frequency vector control model through the the spw sinusoidal pulse modulation inverter control)

主元分析法(PCA)在图像颜色特征提取中的应用(Principal component analysis (PCA) in image color feature extraction applications)

最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )