svd2fun

Its a hodgkin-huxley code in Matlab

包括主成分分析、因子分析、贝叶斯分析，可以广泛的应用于数据预测及数据分析,车牌识别定位程序的部分功能，直线阵采用切比学夫加权控制主旁瓣比，包含CV、CA、Single、当前、恒转弯速率、转弯模型。(Including principal component analysis, factor analysis, Bayesian analysis, Can be widely used in data analysis and forecast data, Part of the license plate recognition locator feature, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, It contains CV, CA, Single, current, constant turn rate, turning model.)

主成分分析 求标准化后的协差矩阵,再求特征根和特征向量(main analysis)

基于纹理特征的图像检索源码，通过双树复小波进行纹理特征提取(Texture-based image retrieval source, through the dual tree complex wavelet texture feature extraction)

Banker Algorithms Implemented in C/C++

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

some dataset for weka

用matlab做的小波信号变换系统 对于初学Wavelet的同仁是个不错的入门资料(wavelet )

本仿真为一个开题报告，揭示了一个新型的加密传输系统，其中有基于AM广播的加密传输的仿真程序(This simulation is an opening report, revealed a new type of encryption transmission system, including encryption based AM radio transfer simulation program)

PFC电路模型，带PID闭环控制，自己设定输出电压，很好的学习例程(PFC circuit model with PID closed-loop control, set the output voltage, good learning routines)