simulink2

Freq Shift Keying simulation in matlab

matlab和vc++联合运行的方法介绍。。。。。(Matlab and vc++ combined operation method is introduced )

PID学习的好资料，功能详尽，值得大家去好好学习研究(PID learning good information, features detailed study worth to learn)

Model of OFDM transmiter based on System Generator in Matlab

超声仿真的代码，matlab的，对于阵元的发射接收的例子，是很好的学习资料。改代码依附于丹麦理工的fieldtwo，可以参考user guide进行仿真。里面是文本格式的，打开转成.m文件即可(Of ultrasound simulation code, matlab example for the launch of the array element receives a good learning materials. Change the code attached to Danish Polytechnic fieldtwo, can refer to the user guide Simulation)

在网上找到的代码 在网上那个找到的系统辨识与自适应控制程序 大家分享(Online to find the code online that found in the system identification and adaptive control procedures to share)

从倒立摆的数学模型入手，对比了lqr控制器和pid控制器的设计和仿真(From the mathematical model of the inverted pendulum to start, compared to the design and simulation controllers and pid controller lqr)

真的是一个好程序，用MATLAB实现动态聚类或迭代自组织数据分析，包括回归分析和概率统计，车牌识别定位程序的部分功能，部分实现了追踪测速迭代松弛算法，使用matlab实现智能预测控制算法，进行波形数据分析,包括主成分分析、因子分析、贝叶斯分析。( Really is a good program, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including regression analysis and probability and statistics, Part of the license plate recognition locator feature, Partially achieved tracking speed iterative relaxation algorithm, Use matlab intelligent predictive control algorithm, Waveform data analysis, Including principal component analysis, factor analysis, Bayesian analysis.)

introduction to parallel programming e-book

蚁群算法是一种模仿蚁群行为的仿生优化算法，其实现机理包括两个基本阶段：适应阶段和协作阶段。在适应阶段，各可行解根据积累的信息不断调整自身结构，路径上经过的蚂蚁越多，信息量越大，则该路径越容易被选择：时间越长，信息量越小。在协作阶段，各可行解之间通过信息交流，以期望产生性能更好的解。(Ant colony algorithm is a mimic ant colony behavior of bionic optimization algorithm, its implementation mechanism includes two basic stages: adaptation and collaboration. In adaptive phase, the feasible solution according to the accumulated information constantly adjust their structure, path through the more the ants, the greater the amount of information, it is the easier path is chosen: the longer the time, the smaller the amount of information. The collaboration stage, through the exchange of information between the feasible solution, expecting to generate better solutions.)