3D-Wave-equation-Model-forwarding--by-the-method-

说明：  用matlab强大的数学算法引擎去实现语音识别，对过去的方法进行综述，并有所创新(Using matlab powerful mathematical algorithms to realize the speech recognition engine, the past methods of synthesis and innovation)

根据smith预估计控制算法，使用MATLAB编写程序实现控制(According to pre-estimate smith control algorithms using MATLAB programming for control)

calssification algorithm knn

信息融合综述以及一些基于matlab的实现(information fusion)

to detect the skin color

采用卡尔曼滤波器来对视频中的目标进行跟踪，带有一个产生视频的主函数，通过kalman滤波器实现对目标的跟踪，简单易懂(Kalman filter to track targets in the video, produced with a video of the main function, to achieve the target tracking by kalman filter, easy to understand)

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).)

Simulink Wind Turbine Model

决策树算法的matlab实现，主要适用的是id3 算法思想(Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking)

比较经典格拉姆施密特QR正交分解的matlab源程序(Comparison of the classical Gram Schmidt QR orthogonal decomposition matlab source)