PID-Control-10

K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载( The following utilities are provided: - Nearest neighbor - K-Nearest neighbors - Radius Search They al supports N-dimensions and work on double, it is possible to choose if return the distances. Here is a time comparison with a vectrized m-code: N=1000000 number of reference points Nq=100 number of query points dim=3 dimension of points k=3 number of neighbor tic [idc,dist]=BruteSearchMex(p ,qp , k ,k) MEX toc tic [idc,dist]=knnsearch(qp,p,k) VECTORIZED M-CODE toc p=rand(N,dim) qp=rand(Nq,dim) Output: Elapsed time is 0.962640 seconds. Elapsed time is 18.813100 seconds. )

基于matlab的自组织神经网络进行遥感图像分类处理(Matlab based on the self-organizing neural network for remote sensing image classification processing)

使用matlab编写的信道估计与误码率测试程序，可以作为OFDM学习的参考,(Prepared using matlab channel estimation and bit error rate testing procedures, can be used as a reference OFDM learning,)

利用牛顿法，加速牛顿法，同伦变换求解非线性方程组的解(Newton method to accelerate the Newton method, homotopy transform Solving the Nonlinear Equations)

利用遗传算法求f(x,y)=x*cos(2*pi*y)+y*sin(2*pi*x),-2<=x<=2,-2<=y<=2的最大值(Using genetic algorithms for f (x, y) = x* cos (2* pi* y)+ y* sin (2* pi* x),- 2 <= x <= 2,-2 <= y <= 2 the maximum)

MATLAB信号处理详解，是PDF格式，方便查看，包括MATLAB的一些基础知识，以及在数字信号处理方面的应用，涉及到数字滤波器的设计等等(Detailed MATLAB signal processing is in PDF format for easy viewing, including some basic knowledge of MATLAB, as well as in digital signal processing applications, related to the digital filter design, etc.)

说明：  讲述电力电子技术中变换技术和控制技术的指导用书(About the power electronics and control technology in the transformation of the guide book)

3维拓扑优化计算算法，可用于初级拓扑优化学习和在此基础上进行拓展(3 d topology optimization algorithm can be used for primary topology optimization learning and expansion on this basis)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

matlab实现卡尔曼滤波算法，图形显示滤波轨迹和速度，以及滤波的标准差(Kalman filter algorithm to achieve matlab, graphical display trajectory and speed filtering, as well as the standard deviation of filtering)