PVinverter

遗传算法优化多峰函数，最优值约在38.8左右，亲测可用(Multimodal function optimization genetic algorithm, the optimal value of about 38.8 or so, pro-test available)

MATLAB资料，对初学者来说可能有一定的作用，还望大家喜欢，谢谢(MATLAB information for beginners may have some effect, but also hope you like it, thank you)

一种改进的混沌算法，结合进化算法进行改进,利用logistic映射进行改进(An improved chaotic particle algorithm to improve the diversity of PSO)

Code to handle secondary CPU bringup and hotplug for the cluster power API.

hiding data in images using watermaking

to recognize the number plate of a car which is a color image...

用于简单的最小二乘拟合演示和简单的拉格朗日插值、线性插值等的演示小程序(For simple presentations and simple least squares fit of Lagrange interpolation, linear interpolation demo applet)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

小数据量计算利亚普诺夫指数(Liapunov index of small amount of data calculation)

EMD处理数据的全流程以及经验模态分解的一个经典例子(The whole process of EMD data processing and a classical example of empirical mode decomposition)