gaimie_V0.2

C/C++中调用MATLAB引擎的数值仿真的实现，运行环境：VC＋＋6、matlab6 注意事项：微分方程文件“fun.m”放在matlab的work目录下。(C/C++ Call the MATLAB engine numerical simulation of the realization of operating environment: VC 6, matlab6 Notes: Differential Equations document )

example of a msk modulation in simulink.

整数规划的一个求解方法（得到CUMCM一等奖）主要思想：找最大元之后的逐步互换求解，有点类似遗传算法(an Integer Programming Solution (with Into First Class) main ideas : after finding the greatest element gradually swap solution, it is somewhat similar genetic algorithms)

JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG，我们能得到延时、数据丢失对系统的性能影响。同时，这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)

关于统计软件sas函数的用法和详细说明，供初学者参考(On the use of statistical software sas functions and detailed instructions for beginners reference)

K mean分类方法，在模式分类中应用极其广泛，利用不断更新期望中心点来划分类别(K mean classification,widely used in pattern classification.)

基于遗传算法的PID参数优化设计。利用遗传算法的智能搜索功能，获得在线PID参数的整定。(Design of PID Parameters Based on Genetic Algorithms.Genetic algorithm intelligent search function for online PID tuning parameters.)

用matlab编写的一个扩频通信的一个仿真，很好的说明了扩频系统的工作原理！(communication simulation systems, including the analysis of Spread spectrum)

Neville插值的源代码，用于Matlab科学计算与数据插值，可与牛顿插值等进行比较学习，适合matlab学习者参考。(Neville interpolation source code for Matlab scientific computing and data interpolation, Newton interpolation can be compared with the study for matlab learners.)

This is a very good book on Matlab for Adaptive Filtering.