zhihuan2

Program for converting 8bit image to text file

LQR源程序，解压缩后直接用Matlab7.0运行(LQR source, unzip it to run directly Matlab7.0)

算法是基于均匀线阵的DOA方法，包括MUSIC算法和ESPRIT算法！(MUSIC DOA and ESPRIT DOA based on ULA)

求卷积,可是做适当的修改，用于MATLAB中。(when we need to carculate convolution.It s indeed useful.)

clear case 的操作，如check in check out (clear case handle client check in check out )

In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. (In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar-xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo. )

多用户GMD分解算法 应用于下一代无线局域网802.11ac多用户研究仿真(MU-MUMO GMD)

matlab的课件三，以前上传了两个加这个就全了(matlab)

说明：  　通过在MA TLAB 图形窗口中加入菜单及控制, 实现直接对窗口对象的操作, 建立了一个 适合用户需要的语音分析处理平台, 并给出了一般的设计方法.(MA TLAB graphics window by adding menus and control, the direct operation of the window object, the establishment of a voice suited to user needs analysis and processing platform, Further calculation and analyzation of the design Fangfa.)

Support Vector Machine Classification tutorial