DctVarFusion

open cv 2 computer vision emgu

图像的编解码程序，可以直接运行，并含有PSNR的对比(The encoding and decoding files which can run without modify, and we have comparison of PSNR)

利用matlab读取ALSO SAR数据并进行成像。(ALSO image reading)

we use the normalized LMS (NLMS) ,LMS,VSLMS,VSNLMS for the main filter in AEC

Direct Torque Control for Matrix Converter Drives PMSM DTC Matrix Converter

说明：  此源程序是复杂网络中参数聚类系数的计算机程序，很有用的(This source is a complex network parameter clustering coefficient computer program, very useful)

This is the MATLAB for the DSP working behind FM transmitters in FPGAs etc.

matlab实现图像分割，程序处理了压缩文件中的图片，将由灰度值构成的图转换成完全由黑白构成的图。(matlab image segmentation, handles the compressed file picture, gray scale value diagram will be converted to composed entirely of black and white composition.)

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)

1.边缘检测，分别用Sobel, Laplacian-Gaussian 方法对一幅灰度图像进行边缘提 取，并给出对比结果； 2.灰度阈值分割：利用双峰法对一幅灰度图像进行灰度分割处理。(1. Edge detection, respectively Sobel, Laplacian-Gaussian methods on a gray-scale image edge extraction, and gives comparative results 2. Gray threshold segmentation: Using Twin Peaks method a gray image gray-scale be dealt with separately.)