PSO

说明：  利用在box-muller 和在时域上通过低通滤波器的方法产生多普勒频移的瑞利信道(Using the box-muller, and in the time domain through a low pass filter method produces Doppler frequency shift of the Rayleigh channel)

说明：  本程序为粗糙集属性约简的算法！如有做这方面的请下载！(this is a good program!if anyone need this, please load down!)

包含两个程序,以蛙跳积分法绘制henon-heiles演化方程的时间演化图,x-y,x-vx,y-vy相图和三维庞加莱截面图.( Contains two procedures to leapfrog integration time evolution plotted in Figure henon-heiles evolution equations, xy, x-vx, y-vy phase diagram and three Weipangjialai-sectional view.)

to find decimation in signal processing

simple ac transformer circuit

实现了区域合并的图像分割的经典方法，是Interactive Image Segmentation by Maximal Similarity based Region Merging 论文的源码，可以好好研究(Regional integration to achieve the classic method of image segmentation is the Interactive Image Segmentation by Maximal Similarity based Region Merging paper source, you can carefully study)

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)

说明：  现代线性控制理论实验课程的原理，以及有关matlab的例子应用(Modern linear control theory, the principles of experimental program, as well as examples of application of the matlab)

一种matlab环境下开关磁阻电机的仿真研究(Under a matlab simulation of switched reluctance motor)

MATLAB通信仿真中的simulink仿真全面讲解，菜鸟上手的讲点教材(MATLAB simulation of the simulink simulation of communication round talks, the rookie get started speaking point of teaching materials)