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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)

径向基神经网络 matlab程序 附有多个例程并有所需数据的mat文件(RBF neural network matlab program )

说明：  经过我很长时间的努力，今天简单的实现正弦波仿真(make out sine wave)

matlab自适应滤波器实现。性能比较：估计值与真实值之差 (matlab adaptive filter implementation. Performance comparison: estimated value and the true value of the difference)

信道编码中turbo码译码代码，采用logmap译码算法实现(turbo decode , lopmap function)

扩展卡尔曼滤波算法，运行打开主程序后直接运行(Extended Kalman filter algorithm can be run directly run to open the main program)

基于稀疏表示的人脸识别，里面有9种求1范数的方法(Face recognition based on sparse representation, there are nine kinds of seeking a method of norm)

说明：  segmentation of a matrix of an image of any size with important adjacent of size parameters

卡尔曼滤波对PID控制的噪音滤除。给出滤波器对控制干扰和测量噪声具有很好的滤波作用(Kalman filter on the PID control filter out the noise. Give filters to control interference and measurement noise filter has a good role)

使用matlab编程的，内点惩罚函数法优化程序(Using matlab programming, interior-point optimization procedure penalty function method)