random-noise

说明：  通过BP神经网络学习一个3维的函数的源代码，为加快速度，程序初始化的为已经经过学习的得到结点权值，如果预设为随机值，将重新学习。(BP neural network through a three-dimensional study of the function of the source code to speed up, the initialization procedure for the study has already been node weights, if limited to random value, re-learn.)

这个Matlab程序包，展示了Monte Carlo方法的基本原理，并把它应用到金融行业，展示一种方差缩减的技巧。(The Matlab package, shows the basic principle of Monte Carlo method, and apply it to the financial industry, demonstrate a variance reduction technique.)

关于旋量理论的Matlab描述和相应的源码实例，适用于多体运动的运动学分析和控制的研究(on Screw Theory of Matlab description and the corresponding source code examples, apply to multi-body kinematics analysis of the movement and control of)

本程序的性能已经超过其他算法，小波包分析提取振动信号中的特征频率，采用累计贡献率的方法。( This program has exceeded the performance of other algorithms, Wavelet packet analysis to extract vibration signal characteristic frequency, The method of cumulative contribution rat.)

说明：  三相电压型整流器控制，控制方法是模型预测控制，可以在simulink上完美运行。(The control method of three-phase voltage source rectifier is model predictive control, which can operate perfectly on Simulink.)

说明：  最小误差发图像阈值分割,实现图像的分割功能。(no)

有关何凯明暗原色先验去雾的MATLAB代码，此算法是对之前softmatting技术的改进，提出了一种新的算法（Guided Filtering）。其中还包括He的一篇论文（Guided Image Filtering）(MATLAB code about dark channel prior of He to dehazing, the algorithm is right here to improve the softmatting technology,proposed a new algorithm (Guided Filtering).Including a paper of He (Guided Image Filtering))

这是一个采用扩展卡尔曼滤波算法估计电池SOC的程序，希望对大家有所帮助！(This is a program about battery SOC estimation with kalman filtering algorithm.)

Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi) + ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].(Matlab functions implementing non-parametric local linear smoothing (LLS) for one-dimensional curve fitting: yi = f(xi)+ ei for i = 1, 2, ..., n. The toolbox contains: (i) the usual LLS estimator, see e.g. [1] (ii) a jump-preserving (two-sided) LLS estimator proposed in [2] (iii) a modified version of the two-sided LLS proposed in [3].)

双馈风力发电系统仿真，汽轮机，背靠背pwm逆变器，电网模型等等(wind generation)