Ztransform1

This matlab code read bmp file and seperate it to R,G,B components. And also quantize the image.

仿真实现调制解调的过程,使用此程序需要MATLAB开发工具(Simulation of the process of modulation and demodulation, using this program requires MATLAB development tools)

此程序主要是检测黄色区域（用于人脸识别） 所用摄像头为USB320X240RGB的 原理： 先利用颜色找出符合条件的大面积黄 再利用模板闭运算补充连通与 再利用XY轴上连同域的寻找 标出人脸(The procedure is to detect the yellow area (for recognition) camera for USB320X240RGB used the principle: first, to identify qualified by the color yellow and then use a large area of the template to add connectivity and re-closing operation axis together with the domain using the search XY Face marked)

三相锁相环和dq变换，用于电力系统中的网络同步(Phase locked loop and dq transform for power system network synchronization)

在多目标灰色狼优化器（mogwo），固定大小的外部文件集成到该gwo保存和检索的帕累托最优解。该档案被用来定义社会等级，并在多目标搜索空间中模拟灰狼的捕猎行为。(In the Multi-Objective Grey Wolf Optimizer (MOGWO), a fixed-sized external archive is integrated to the GWO for saving and retrieving the Pareto optimal solutions. This archive has been employed to define the social hierarchy and simulate the hunting behavior of grey wolves in multi-objective search spaces.)

matlab环境下关于数字信号处理的一些程序，主要是利用小波变换的去噪程序(matlab environment about a number of digital signal processing procedures, mainly the use of wavelet transform de-noising procedures)

说明：  运用Matlab编程，实现了三维结构的凝聚，包括Guyan法，标准凝聚和迭代凝聚法。(With Matlab programming, we achieve the cohesion of the three-dimensional structure, including the Guyan method, standard condensation and iterative condensation method.)

IS95 FIR滤波器低通滤波白噪声(由输入和输出噪声功率谱图可见，IS-95滤波器较好实现了低通滤波。)(IS95 FIR low-pass filter white noise filter)

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

This project describes a method for synthesizing images that match the texture appearance of a given digitized sample. This synthesis is completely automatic and requires only the “target” texture as input.