et_04

此文件包含三个MATLAB程序，用于对线性系统AR模型的权向量估计：Kalman滤波估计，RLS和LMS，均为较常用的估计方法，并附有相应的仿真图(There are three programs in this files:kalman,RLS and LMS to pridict the victors of linear systems . These three wawys are common and useful in signal processing)

说明：  BD-OFDM的接收和发射，是用Matlab编程实现的++matlab，程序比较简洁，易懂。(BD-OFDM receiver and the launch is the use of Matlab programming of the++ matlab, procedure is simple and easy to understand.)

能够非常有效地在比较大的干扰下比较准确地反映真实值，如果观测端加入干扰较大时，卡尔曼滤波器能够较为有效地进行滤波，不过当状态端的干扰增大时，卡尔曼滤波器的滤波效果也会随之下降。(Can very effectively in the relatively large disturbances under more accurately reflect the true value, if the observation end joining interference is large, Calman filter can effectively filter, but when increasing the jamming state end when the filter effect of Calman filters will fall.)

snakegame by window api simple game

利用Maltab求解变参数lorenz方程,在非线性动力学和混沌研究中经常遇到类似的问题。本程序也可以求解类似的有变参数的微分方程系统如Chen system, Lv system, Rossler system 等。(use Maltab variational parameters lorenz equation, Nonlinear Dynamics and Chaos often encountered similar problems. The procedures also can be used to solve a similar change in the differential system parameters such as Chen system, Lv system, such as Rossler system.)

运用matlab语言编写的c均值算法，分为两个聚类(Use matlab language c-means algorithm is divided into two clusters)

最简单的PSO应用程序，方便初学者使用，很好用(PSO simple application, easy for beginners to use, easy to use)

如何建立simulink仿真模型，本文有非常详尽的说明，对于实物模型如何建立simulink仿真模型(SG_02_how to build a simulink model)

说明：  最优化算法中得拟牛顿法和共轭梯度法,以及Armijo型搜索和最优步长搜索。(Congradient and NiNewton algorithms in optimazation based on MATLAB)

说明：  第四章 MATLAB 图形对象操作 4.1 图形对象的属性 4.2 图形对象句柄的获取 4.2.1 对象创建时获取 4.2.2 层次关系来获取 4.2.3 当前对象的获取 4.2.4 根据对象属性值的获取 4.3 图形对象句柄的删除与判断 4.3.1 句柄的删除 4.3.2 句柄的判断 4.4 图形对象属性值的获取与设置 4.4.1 图形对象属性值的设置 4.4.2 图形对象属性值的获取 4.4.3 用户缺省值的操作 4.5 图形对象的其它操作 4.5.1 figflag 函数 4.5.2 findfigs 函数 4.5.3 copyobj 函数 4.5.4 capture 函数 4.5.5 refresh 函数 4.5.6 saveas 函数 4.5.7 hgload 函数和 hgsave 函数 4.5.8 newplot 函数 (Chapter IV of MATLAB graphic objects to operate the properties of graphic object 4.1 graphic object handle 4.2 Access 4.2.1 object created when the relationship between the level of access to 4.2.2 to get 4.2.3 to obtain the current object under the object attribute value 4.2.4 Access 4.3 graphic object with the judge handles delete delete 4.3.1 handles 4.4 judgment 4.3.2 Handle Graphics object attribute values to obtain and set the target attribute value 4.4.1 graphics settings 4.4.2 graphic object attribute values to obtain 4.4 .3 user operation 4.5 Default graphic object 4.5.1 figflag other operations function 4.5.2 findfigs function 4.5.3 copyobj function 4.5.4 capture function 4.5.5 refresh function 4.5.6 saveas function 4.5.7 hgload function and 4.5.8 newplot function hgsave function)