3

介绍了butterworth的二自由度的实现(Describes two degrees of freedom to achieve butterworth)

第三个例子滤波应用程序，可以了解粒子滤波的工作原理(third example filtering application that can understand the particle filter Principle)

是粒子群算法的MATLAB源程序，可以在matlab中运行(Is the source of the particle swarm algorithm in MATLAB, you can run in matlab)

一个简单的CA模型，用于仿真实践，使初学者很容易接受，简单易懂(A simple CA model, for the simulation of practice, so that beginners are easy to accept, easy to understand)

MATLAB SIMULINK建模与仿真实例精讲_程序(MATLAB SIMULINK)

说明：  永磁同步电机无位置传感器matlab仿真模型文件，很详细。(PMSM sensorless matlab simulation model file, very detailed.)

这是郭仕剑的《MATLAB7.X数字信号处理》这本书的光盘源码。(This is Guo Shi Jian " MATLAB7.X digital signal processing," source book CD.)

本算法是利用matlab及libsvm软件包仿真了利用SVM建立基于乳腺组织电阻抗特性的乳腺癌诊断模型，并对诊断模型的特性进行评价(This algorithm is the use of simulation software package libsvm matlab and the establishment of the use of SVM based on electrical impedance properties of breast tissue model of breast cancer diagnosis, and diagnostic evaluation of the characteristics of the model)

精通matlab科学计算书本上的一些例题(Proficient in matlab scientific computing books on some of the examples)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)