Kalman1960

共轭梯度法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。(Conjugate gradient method is between the steepest descent method and Newton method between a method that only use the first derivative information, but the steepest descent method to overcome the disadvantage of slow convergence, but also avoids the need to store and calculate Newton Hesse matrix and the shortcomings of the inverse, conjugate gradient method is not only linear equations to solve large-scale one of the most useful, large-scale nonlinear optimization solution is also the most efficient algorithms.)

关于数字水印的matlab代码，对初学者有很大帮助，也可以拿来做毕业设计的资料(On digital watermarking matlab code, very helpful for beginners, but also can be used to do graduate design)

ti is TV-L2 model for deblurring image

介绍了混沌动力学和分形的基本原理，并着重讨论了他们在智能信息处理中的作用(Introduces the basic principle of chaos and fractal, and discusses them in intelligent information processing function)

This code implements newton method with equality constraints

conventional simulink statcom

it is very useful paper for multilevel converter

欢迎大家下载学习，采用波束成形技术的BER计算，LCMV优化设计阵列处理信号。( Welcome to download the study, By applying the beam forming technology of BER LCMV optimization design array signal processing.)

ecg de noising for Matlab data sd

Matlab 写的kmeans slc 算法 还包括实验报告，其中有实验结果图的对比(Matlab kmeans and slc algrithms, reports with experimental results attached I hope it is useful for you )