CommandDemo

clustering data at matlab

说明：  用矩阵实现而微小波变换，解决途中处理中而微信息量过大的问题(Realization with small wave transformation matrix to address the way in which micro-processing problem of information overload)

说明：  对基础信道BPSK的实现与仿真,里面含有对各个结构构成的分别实现(On the basis of the channel realization and simulation of BPSK, which contains the composition of each structure were achieved)

说明：  用MatLab，编写用Hopfield网络求 解TSP问题（旅行商问题）的程序(城市 数目≥5)(Using MatLab, prepared using Hopfield network to solve TSP problem (TSP) process (the number of cities with ≥ 5))

多机器人队形初始化，使用11个机器人最终编队形成一个圆形(Multi-robot formation initialization)

介绍如何用较复杂的方法去优化对负载具有感知特性的“黑匣子”模型的神经网络控制。(Shows how to use the complex method to optimize a black-box neural network model of a load-sensing )

数字图像处理，用matlab实现图像角点的提取。内带有两片关于角点提取说明的PDF文件(Digital image processing, with matlab for image corner extraction. In with two shows on the corner of the PDF file extraction)

稀疏和低秩矩阵分解。 This paper focuses on the algorithmic improvement for the sparse and low-rank recovery.( Sparse and Low-Rank Matrix Decomposition Via Alternating Direction Methods.The problem of recovering the sparse and low-rank components of a matrix captures a broad spectrum of applications. )

A signal-dependent rank ordered mean (SD-ROM) filter-a new approach for removal of impulses from highly corrupted images

利用matlab处理图像，分别用高斯滤波，均值滤波和中值滤波，对同一个噪声图像处理及得到结果(Using matlab image processing, respectively, with a Gaussian filter, mean filter and median filter, image processing on the same noise and get results)