SVPWM2

paper on Volterra Filtering Techniques for Removal of Gaussian and Mixed Gaussian-Impulse Noise

说明：  一维直方图最大熵法分割图像，自己写的matlab代码，多多指教(One-dimensional histogram maximum entropy image segmentation, to write the matlab code, exhibitions)

基于matlab的var模型应用 youyong(matlab var)

matlab函数速查手册，修订版，里面详细介绍了matlab常用函数，给出了详细例子(Matlab function, quick manual revision, it introduced the commonly used matlab function, a detailed example is given)

用贝塞尔曲线画圆的代码,效率高，可以调节参数控制(draw circle by bezier )

gui小程序 ，自己编的小程序，先联系一下，写得不好，见笑了！(gui applet, own a small procedure, you first contact, not well written, has been a laughing stock!)

图像分割的GVF模型的MATLAB源代码，在gvf_v5.zip中，另有经典snake模型的代码(Image segmentation of GVF model of MATLAB source code, in GVF v5. Zip, another classic snake model code)

prova de sistemas web

将MIT-BIH标准心电数据库中的数据读入到matlab中的程序(The MIT-BIH ECG database to read the procedure in matlab)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)