robert

一个简单的Matlab软件上完成的MRI脑图像的一个白质的分割，程序比较简单，可给初学者提供帮助。(A simple Matlab software to complete the MRI brain images of a white matter segmentation procedure is relatively simple and can provide help for beginners.)

it includes main file for data gatheing.............................................

基于LSB的数字水印算法，MATLAB，简单易懂，嵌入与提取(Digital watermarking algorithm based on LSB, MATLAB)

时域自适应滤波中基于后验概率的格型RLS算法(奀郖赻巠crown thinning recommended price笢Guang Ya Carex quilt is made up of trace倰cavity RLS呾Yang)

光点识别程序，自己编写。包含javarobot类调用鼠标。打开程序后，运行。用发光物体如手机在自带摄像头前控制鼠标移动。程序有抗干扰处理，能屏蔽外部光线的影响。(Spot recognition program, write your own. Contains javarobot class called mouse. After opening the program, run. Comes with a shiny object in front of the camera to control mouse movement such as mobile phones. There are anti-jamming processing program that can shield the influence of external light.)

multi - objective optimisation

运用Matlab求解工程系统动力学问题，是一本值得参考的好书(Solving Engineering System Dynamics Problems with MATLAB.)

enhanced mapping algorith for loclaization and mapping problem

GAMIT软件在卫星观测数据处理领域应用广泛，计算的结果也很精确，对于需要误差项精确计算值得程序开发人员和科学研究人员有很大的帮助，此文档主要介绍GAMIT软件的使用，比较容易上手(GAMIT software in satellite observation data processing field applications, the results of the calculation are very accurate, the need for the error term is precise calculation program development personnel and scientific researchers are of great help, the document GAMIT mainly introduces the application of the software, is easy to use )

不错的GM_EM代码。用于聚类分析等方面。( GM_EM- fit a Gaussian mixture model to N points located in n-dimensional space. Note: This function requires the Statistical Toolbox and, if you wish to plot (for k = 2), the function error_ellipse Elementary usage: GM_EM(X,k)- fit a GMM to X, where X is N x n and k is the number of clusters. Algorithm follows steps outlined in Bishop (2009) Pattern Recognition and Machine Learning , Chapter 9. Additional inputs: bn_noise- allow for uniform background noise term ( T or F , default T ). If T , relevant classification uses the (k+1)th cluster reps- number of repetitions with different initial conditions (default = 10). Note: only the best fit (in a likelihood sense) is returned. max_iters- maximum iteration number for EM algorithm (default = 100) tol- tolerance value (default = 0.01) Outputs idx- classification/labelling of data in X mu- GM centres)