Aperiodic-iterator

matlab神经网络应用设计--机械工业出版社。6-10章所有程序源码。(matlab neural network application design- Mechanical Industry Publishing House. 6-10 s source code for all programs.)

该代码用于分类，主要是基于pso优化svm参数的分类代码(The code used for classification, mainly based on pso classification code optimization svm parameters)

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

FIR 滤波器的自适应模拟，通过收敛性、学习曲线等方面对RLS 算法以及LMS 算法的不同特性进行了比较(FIR Filter simulation, through the convergence of the learning curve compared with the RLS algorithm, as well as the different characteristics of the LMS algorithm)

简单的卡尔曼工具箱，易于上手，主要包括源代码，但不包含例程，自己做了写注释。(simple KALMAN toolbox，easy to understand and revise,include some nessesary remark according to application.)

parllel toserial out test bench

用matlab编写的程序，建立经典模型，解决车间调度通用问题，(Matlab prepared using the procedure, the establishment of the classical model, to solve general shop scheduling problem,)

微信功能实现通信机制沟通你我他.在你我他之间架起沟通的桥梁(Micro-channel communication mechanism to achieve functional communication you and me. Between you and me, he acted as bridges)

：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无 迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤 波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度(: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density)

此程序实现简单，便于阅读，易于理解，挺适合初学者学习的。(This procedure is simple and easy to read, easy to understand, very suitable for beginners to learn.)