WiMAX_5.tar

Robert,sobel图像轮廓提取代码，不是matlab自带函数！(Robert, sobel image contour extraction code, not matlab own function!)

利用相关法进行系统辨识的matlab程序 包含m文件和simulink仿真图(System identification using the correlation method)

西电廖桂生老师的阵列信号处理讲义，适合阵列信号方向研究者入门时阅览。(Array signal processing lectures West, Liao Gui-sheng teacher, researcher for entry when reading array signal direction.)

说明：  用蚁群算法解决VRP问题，包含基本蚁群算法（我记得不含时间窗约束）(Using ant colony algorithm to solve VRP problem, including basic ant colony algorithm)

bee algorythm sample

一个使用matlab实现进化博弈过程仿真实验的例子(This function uses ES to optimize a function f(x_1,...,x_n). There are a set of 55 test functions to check the effectiveness of the algorithm when optimizing functions. Feel free to leave comments, corrections or suggestions. Read the comments in the code for more information and bibliography used in the development of this code.)

This paper proposes a wind speed estimation based sensorless maximum wind power tracking control for variable- speed wind turbine generators (WTGs). A specific design of the proposed control algorithm for a wind turbine equipped with a doubly fed induction generator (DFIG) is presented.

（1）人脸图像的采集 （2）人脸图像增强：去噪、均衡、尺寸归一化、倾斜校正等 （3）脸部肤色区域分割：采用肤色模型检测与分割人脸肤色区域 （4）脸部五官区域分割：采用算法将人脸分割成眉毛、眼睛、鼻子、嘴巴等多个区域((1) Facial image acquisition (2) Face Image Enhancement: Denoising, Equalization, Size Normalization, Tilt Correction, etc. (3) Facial skin color region segmentation: using skin color model to detect and segment face skin color region (4) Facial Five-sense Region Segmentation: Face is segmented into eyebrows, eyes, nose, mouth and other regions by using the algorithm.)

说明：  通过步进电机的数学模型对二相步进电机进行仿真，并通过卡尔曼滤波处理数据，最终通过处理后的数据预估两相步进电机的相电流和相电压。(The mathematical model of the stepping motor is used to simulate the two-phase stepping motor, and the data are processed by Kalman filter. Finally, the phase current and phase voltage of the two-phase stepping motor are predicted by the processed data.)

说明：  利用粒子群优化算法对支持向量机中的核函数参数和惩罚参数进行优化是非常有效的手段，可以大大提高鲁棒性。实际过程中读者可通过下载我上传的代码，简单进行修改和阅读附件论文即可快速掌握相关方面的知识，快速使用这一方法。(Particle swarm optimization (PSO) is a very effective method to optimize the kernel function parameters and penalty parameters of SVM, which can greatly improve the robustness. In the actual process, readers can quickly grasp relevant knowledge and use this method by downloading the code I uploaded, simply modifying and reading the attached paper.)