Smartantennas

首先用matlab实现了识别算法的仿真，因为只是对特定的数字组合的识别，所以非常的简单，放弃采用比较复杂的识别算法，采用最普通的像素比较的识别算法。(First, to achieve the recognition algorithm using matlab simulation, because the only identification of a specific combination of numbers, it is very simple, give up the use of more complex recognition algorithms compare the most common pixel identification algorithm.)

一种基于稀疏变量的欠定盲分离算法，很好用，大家试一下。(Underdetermined blind separation algorithm based on sparse variables)

Fast search for Dirichlet process mixture models (This code implements the search algorithms (modulo a few minor changes) described in the Fast search for DPMMs paper at AI-Stats 2007. It should work out of the box with a reasonably recent version of matlab. Currently the code only contains the Dirichlet/Multinomial case, but the Gaussian case can be hacked in in about 5 minutes.)

This is a paragraph on the calculation of current harmonic content of M documents, using MATLAB implementation, high accuracy.

说明：  Matlab数值计算，回归分析，多元线性回归，Matlab统计工具箱的使用(Matlab numerical calculation, regression analysis, multivariate linear regression, statistical Matlab Toolbox use)

matlab draw examples

实现一个单相不控的全桥整流器 交流母线电阻R1，直流滤波电容C，负载电阻R(achieve a single-phase control is not a full-bridge rectifier AC Bus resistor R1, DC filtering capacitor C, load resistor R)

运用matlab编程语言，实现利用列主元Gauss消去法和平方根发求解线性方程组(Use matlab programming language, using the column to achieve the main element Gauss elimination method and the square root of the hair for solving linear equations)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

很好的matlab参考书，唯一的缺点是全英文，不过写得很详细(Matlab very good reference book, the only drawback is that the whole English, but very detailed)