SVMRFE

ShearLet Transform in Matlab

对于初学者来说，有助于理解滤波器的原理还附有简单的matlab编程(For beginners to understand the principles and simple filter matlab programming)

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.)

基于人工势场算法的避障算法，包括多机器人避障算法(Obstacle avoidance algorithm based on artificial potential field algorithm, including multi-robot obstacle avoidance algorithm.)

Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[ -6.2 -8.3 -5.0 -1.1 1 1.3 2.2 8.5 27.4], in x= [-4 -3 -2 -1 0 1 2 3 4] to interpolate in the xi = − 4 + 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!(Used function P(x) = 1+x− x2+0.2x3+0.1x4 and its known the values P(x)=[-6.2-8.3-5.0-1.1 1 1.3 2.2 8.5 27.4], in x= [-4-3-2-1 0 1 2 3 4] to interpolate in the xi = − 4+ 0.1i, i = 0, 1, 2, . . . 80. Results are graphically compared!)

说明：  这是FDTD三维模型仿真的matlab程序(Susan FDTD 3D model )

This contains program for alising ...

一个非常出名的信息隐藏程序JPhide，简单实用，学习信息隐藏的同学可以下来用用(A very well-known information hiding procedure JPhide, simple and practical, the students can learn information hiding down by using)

自适应信号处理的经典书籍，英文版，详细介绍了各种自适应过程(Classic books, adaptive signal processing in English, details a variety of adaptive process)

axial Bar truss分析 受力和变形等(axial Bar truss)