Untitled

图像分类软件，用MATLAB语言编写，可实现对象的分类和匹配识别(Image classification software used MATLAB language, enabling the object classification and matching recognition)

in this project data is hiding by LSB stegnography the shifting opertor is used to shift the data

configire dominant color function on matlab.using image processing

自己用matlabgui设计的小程序，用于录入学生考试成绩(Designed small procedures to facilitate the entry of results)

matlab完美实现ICP（迭代最近点算法）算法，功能强大，适合匹配数据点(matlab perfect realization of ICP (iterative closest point algorithm) algorithm, a powerful, data points for matching)

关于DPSK的matlab程序，看对大家有没有用(DPSK matlab program to see that everyone did not use)

排队论 经典 M/M/1程序 Queuing theory, the classical M/M/1 process(Queuing theory, the classical M/M/1 process)

robot simulation with random algorithm

说明：  两个信号的DOA估计，用4阶累积量方法。(Two signal DOA estimation, using 4-order cumulant method.)

相关向量机(RVM)的matlab源程序，包含快速算法，内含代码使用说明。 RVM采取是与支持向量机相同的函数形式稀疏概率模型，对未知函数进行预测或分类。 优点： (1) 不仅仅输出预测目标量的点估计值,还可以输出预测值的分布. (2) 使用更少数量的支持向量,从而显著减少输出目标量预测值的计算时间. (3) RVM不需要估计过多的参数. (4) RVM对是否满足Mercer 定理的核函数没有限制,适应性更好(Relevance Vector Machine (RVM) of the matlab source code, including fast algorithm that contains code for use. RVM support vector machine is taken the same functional form sparse probabilistic model to predict the unknown function or classification. Advantages: (1) is not only the amount of output predicted target point estimates, but also the distribution of predicted values ​ ​ can be output. (2) using a smaller number of support vectors, thereby significantly reducing the output target amount predicted value calculation time. (3) RVM does not require excessive parameter estimation. (4) RVM meets Mercer theorem on the kernel function is not limited, and better adaptability)