rle_rld

无约束蚁群算法，非常好用，大家一起学习！多多交流(Ant colony algorithm for unconstrained, very easy to use, we will study together! More exchanges)

compress2D with matlab

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

这是单机版的五子棋，做为学习用的一个matlab代码，两个人轮流下，电脑自动判别胜负。 此代码为realghost开发，如有转载，请保留这部分信息。(This is a stand-alone version of backgammon, as learning to use a matlab code, two people take turns, the computer automatically determine the outcome. This code is realghost development, if reproduced, please keep this part of the message.)

非线性系统辨识 Extended Hammerstein model identification(Nonlinear system identification Hammerstein model identification)

dft 的matlab仿真，以及仿真结果 图片以及必要的文字描述(the simulation of the DFT under matlab circumstance)

很好的matlab学习资料，由浅到深的解析，附带源码(Matlab good learning materials, from shallow to deep analysis, with source code)

基于matlab开发的sep协议，很好可用(Wireless sensor network routing)

SPWM MATLAB/simulink仿真模型，希望感兴趣的同学相互交流 (SPWM MATLAB simulation program, hope that those interested in mutual exchange )

主要是针对面向对象设计中的模块应用，详细见英文说明。。。(NCMGUI Master GUI for Numerical Computing with MATLAB. NCMGUI provides an interface to nineteen of the graphical demostrations from "Numerical Computing with MATLAB". Click on any graphic to access the underlying function.)