channel

实验一：三次样条插值（P56，例6） 一、实验目的： 1) 掌握三次样条插值的运用 2) 了解拉格朗日插值在高次上的误差 二、实验环境：Matlab6.5 三、实验内容： 1) 给定函数f(x)=1/(1+x2)，-5<=x<=5，节点xk=-5+k，(k=0,1,2…10)，用三次样条插值求S10(x)，S10’(-5)=f’(-5)，S10’(5)=f’(5)。 2）作原函数f(x)，拉格朗日插值函数Ln(x)，三次样条差值函数Sn(x)。画出三个函数的图像，比较它们的区别。 (Experiment I: cubic spline interpolation (P56, cases of 6) First, the experiment was: 1) cubic spline interpolation to master the use of 2) understanding of Lagrange interpolation in high-error second, experimental environment: Matlab6 .5 c, experimental elements: 1) a given function f (x) = 1/(1+ x2),-5 <= x <= 5, node xk =- 5+ k, (k = 0,1,2 ... 10), using cubic spline interpolation for S10 (x), S10 (-5) = f (-5), S10 (5) = f (5). 2) for the original function f (x), the Lagrange interpolation function Ln (x), cubic spline difference function Sn (x). Draw the three functions of images, compare the difference between them.)

esprit算法应用于无线电测向（DOA估计）(esprit algorithm used in DOA estimation)

SEEP5( Property , Value ,...) creates a new SEEP5 or raises the existing singleton*. Starting the left, property value pairs are applied to the GUI before seep5_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to seep5_OpeningFcn via varargin.

matlab平台下的人脸检测程序,效果较好，能够准确识别出多张人脸.(matlab platform under the face detection process, Better able to accurately identify multiple faces.)

说明：  有源电力滤波器(APF:Active power filter)是一种用于动态抑制谐波、补偿无功的新型电力电子装置，它能够对不同大小和频率的谐波进行快速跟踪补偿，之所以称为有源，是相对于无源LC滤波器，只能被动吸收固定频率与大小的谐波而言，APF可以通过采样负载电流并进行各次谐波和无功的分离，控制并主动输出电流的大小、频率和相位，并且快速响应，抵消负载中相应电流，实现了动态跟踪补偿，而且可以既补谐波又补无功和不平衡。(APF:Active power filter))

MATLAB人工势场法算法源代码 可以用于移动机器人路径规划上面(MATLAB artificial potential field algorithm source code can be used for Mobile Robot Path Planning above)

此算法用于多目标优化，是经过修改的，可以运行！(This algorithm is used for multi-objective optimization 。 Modified, you can run!)

Construct a PathEffect whose effect is to apply first the inner effect and the the outer pathEffect.

基于元胞自动机编写的传染病扩散matlab代码，为了运行方便，把所有代码都集中在了一个m文件中，重要部分都带有注释，算法取得了较好的结果，在这里分享给大家。( Cellular Automata based infectious disease diffusion write matlab code, in order to facilitate operation, all the codes are concentrated in an m file, important parts are annotated, the algorithm has achieved good results, here for everyone to share.)

最小均方误差（MMSE）的算法，包括随机梯度算法，相对梯度算法，包括最小二乘法、SVM、神经网络、1_k近邻法,本程序的性能已经达到较高水平，外文资料里面的源代码，感应双馈发电机系统的仿真，时间序列数据分析中的梅林变换工具，实现了对10个数字音的识别程。( Minimum mean square error (MMSE) algorithm, Including stochastic gradient algorithm, the relative gradient algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, The performance of the program has reached a high level, Foreign materials inside the source code, Simulation of doubly fed induction generator system, Time series data analysis Mellin transform tool, Realization of 10 digital audio recognition progra.)