world2camera1

过程检测习题 过程检测习题 (The process of testing the process of detection Exercises Exercises)

数值的kalman滤波程序，绝对完整。完全(Values kalman filtering process, absolute integrity. Completely)

功能描述：测试LMS与RLS算法，比较两种算法的收敛特性 文件名：LMS_RLS_sim.m 测试用例： x(n)+a1*x(n-1)+a2*x(n-2)=e(n)，a1=-1.6,a2=0.81,e(n)为高斯白噪声 文件输出：系数a1的值 调用函数：function [A] = LMS_Algo(M,N,mu,xn) 被调用：无 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )

应用自适应的干扰对消法去除高斯白噪声，程序中给出两种相关噪声产生的方法，第一种只有一个噪声是随机产生的，第二种两个噪声都是随机产生的。程序中给出了去噪后信噪比和均方差的增益。(Application of adaptive interference cancellation method to remove Gaussian white noise, the procedure given in the relevant noise generated by the two methods, first there is only one noise is randomly generated, the second two are randomly generated noise. Denoising process is given after the signal to noise ratio and mean square deviation of the gain.)

convolutional encoder in matlab

文件包含本人整理的一些数学建模中经常用到的数据建模方法matlab程序，包括AHP,Logistic回归，云模型，排队论，灰色预测，聚类分析等，均为本人自己编写，注释详细，使用方便

说明：  基于局部Fisher准则的非线性核Fisher辨别分析，应用于有监督的特征提取与高维数据的有效降维。(Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.)

1.图像去噪MATLAB仿真程序.m 2.图像点扩展函数获取MATLAB仿真程序.m 3.约束最小二乘法图像复原MATLAB仿真程序.m(1.the simulation of denoise. 2.the method to get psf. 3.controlled least squre method to deblur image.)

基于改进的GrowCut算法实现图像分割的代码，实现的平台是Windows下的Matlab。(The code image segmentation based on improved GrowCut algorithm implementation under Windows platform is Matlab.)

概述介绍了matlab环境下面向对象编程的方法，初学者可以看看(Overview describes the object-oriented programming methods matlab environment, beginners can take a look)