newton_method

PPT for an IEEE paper "non-local means with dimensionality reduction and sure-based parameter selection"

是个不错的算法程序，可以直接实现功能。密度方式的聚类算法(It is a good algorithmic program, which can implement functions directly.)

This is an implementation of the Bandelets Transform for image processing purposes

阵列信号处理，波达方向估计算法对比，包括beamforming算法，capon算法和MUSIC算法(Array signal processing, direction of arrival estimation algorithm comparison, including beamforming algorithm, capon algorithm and the MUSIC algorithm)

Matlab-functions,Matlab的所有函数,很好的资料哦,全免费的(Matlab-functions, Matlab all the functions, information Oh well, all free of charge)

在Matlab环境中编制了以雨流计数法为理论基础的二维载荷谱程序,用以对混合动力电动车电机驱动系统载荷时间历程进行统计处理,得到载荷幅均值雨流矩阵,进行幅均值各自分布假设检验,以及独立性和相关性检验,获得二维联合分布概率密度函数,建立混合动力电动车电机驱动系统台架试验用二维载荷谱.(Prepared in Matlab environment of the rain flow counting method with the theoretical basis of the two-dimensional load spectrum procedure for hybrid electric vehicles on the motor drive system for statistical processing time course load, get a load amplitude mean rain flow matrix, be the mean amplitude of each distribution hypothesis testing, as well as independence and correlation test to obtain a two-dimensional probability density function of the joint distribution, the establishment of a hybrid electric vehicle motor drive system with two-dimensional bench load spectrum.)

关于非线性离散系统辨识，这个有中文注释，看得明白，最小二乘回归分析算法。( Nonlinear discrete system identification, The Chinese have a comment, understand it, Least-squares regression analysis algorithm.)

CDMA功率控制（matlab模型），无线3G的基本模块(CDMA Power Control (matlab model), the basic module of wireless 3G)

BP网络的回归模拟，想研究的朋友可以参考(The return of BP network simulation can refer friends to the study)

自适应中的牛顿法。结论，当u靠近0.5时，wk 迅速增加到最佳权， 当u小于0.5时，wk 沿着一个方向单向靠近最佳权；u大于0.5时wk沿着起始点指向最佳权的方向左右振荡并向最佳权收敛 ！ (The Newton method adaptive. Conclusion, when u close to 0.5, wk quickly right to the best, when u is less than 0.5, wk along the a direction close to the best the right way u greater than 0.5 wk point along the starting point about the best direction for the right to the right of oscillation and convergence of the best!)