naijing

原创最大类间差分割法 运行效率极高 通过验证 放心使用(The largest difference between the original class of high efficiency of partitioning ease of use through the validation)

产生QPSK的简单程序，先产生0到3的随即数字，用这些数字产生相位，然后产生QPSK信号！(Get QPSK！)

瑞利衰落信道的Matlab仿真模型程序，这个是关于OFDM 的循环卷积源代码(Rayleigh fading channel simulation model of the process, this is the cycle of OFDM convolution source code)

利用聚类算法和小波分析进行声发射信号的阈值去噪 (The use of clustering algorithms and thresholding wavelet analysis of acoustic emission signals)

?Ideal solution to add 802.11n to broadband platforms ?Cost effective, High performance, 802.11n AP/Router WLAN SoC ?Simple 802.11n integration to Ethernet equipped device Overview RT2880 MIMO Wireless Access Point/Router/iNIC SoC 802.11n 2T3R Solution featuring MIMObility?Technology

Numerical Optimization, interior points

gvf snake 邊緣檢測範例(包含範例圖)(1. Introduction and Installation Instructions ---------------------------------------------- Welcome to the Gradient Vector Flow (GVF) Active Contour Toolbox. The Matlab*.m files in this software distribution implement our GVF snake, the original (Kass, Witkin, and Terzopoulos) snake, the balloon snake, and the distance snake. These programs were designed, written and tested by Chenyang Xu and Jerry Prince. To install this software, simply unzip the file into an empty directory, making sure to ask your unzipper program to restore the directory structure of the zipped files. In this documentation, we will assume that you have unzipped the files into C:GVF. 2. Documentation ---------------- We have included two research papers that describe GVF. You can find these in C:GVFpapers. Brief descriptions of the software modules can be found in this file below. For more detail, you should run Matlab, add the path C:GVFsnake, and type "help function-name". F)

這是我自己寫的 matlab 簡易入門的原始碼，我只是個初學者。(This is my own writing simple entry matlab source code, I' m just a beginner.)

图像修复算法foe，来自论文“A Framework for Learning Image Priors”(This is a image inpainting algorithm which comes from tha paper A Framework for Learning Image Priors)

常用命令速查，自己刚学这个程序还没有作品。努力学习中...(Common Command Quick Check)