streamClusteringg

通过MATLAB编程实现自动输出A矩阵，输出图的一棵树，输出图的所有的树(Through MATLAB programming for automatic output A matrix, the output of a tree diagram, the output map all the trees)

贝叶斯分类器设计。 对两组数据（学生的英语成绩）的分类(Bayesian classifier design. On two sets of data (student performance in English) classification)

本文详细介绍了matlab—simulink的建模和方针功能(This paper describes a matlab-simulink modeling and policy functions)

余弦滚降系统m代码，通信原理matlab仿真程序(Cosine roll-off system, m codes, communication theory matlab simulation program)

phantom_denoising去噪，包含了CS+UWT去噪和CS+NSCT去噪(phantom_denoising denoising, including the CS+ UWT denoising Denoising and CS+ NSCT)

matlab仿真，有关纠错码中卷积码的性能仿真，1/N速率的(matlab simulation, the error-correcting codes in the convolutional code performance simulation, 1/N rate)

c-c方法计算重构维数m和延迟时间t的matlab的m 文件(cc method reconstruction dimension m and delay time t of the m-file matlab)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

一个用于比较图像频域滤波和空间滤波效果的程序(A frequency domain filtering and spatial filtering effect of the procedure used to compare images)

2维的波达方向估计，旋转子空间不变法，alpha稳定分布噪声环境下(2 d doa estimation, rotating subspace without political reform, alpha stable distribution under noise environment)