gonglvpu

MATLAB M文件例子 最简单的精通MATLAB工具箱的函数之一提出了一个共同的问题。MATLAB函数gcf返回当前图形的句柄。但是，它有一个副作用。如果图形不存在，gcf就创建一个，并返回它的句柄。如果想寻找一个图形是否存在于头一个位置，要是没有，又不得不创建，怎么办？函数mmgcf正好实现由其内容所描述的工作。(MATLAB M file example of the simplest function of proficiency in one of MATLAB toolbox put forward a common problem. MATLAB function to return to the current GCF handle graphics. However, it has a side effect. If the graph does not exist, gcf on to create one and return its handle. If you want to find a graphic exist in the first position, if not, they have created, how should I do? Function mmgcf realize its content is described.)

说明：  贝叶斯最小错误和最小风险算法，具有界面，分6种情况讨论(Bayes algorithm： Map and min risk)

matlab的模式识别toolbox，将它解压缩，拷贝到matlab目录下的toolbox下，声明：请不要将这个工具箱应用到商业用途上，仅作学术参考。(pattern recognition tool box. Please unzip, copy it under the directory of matlab toolbox. Announcement: Don t apply it to commercial usage, just for research reference.)

增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。(Augmented least squares of recursion algorithm corresponding noise model for moving average noise, expanded parameter vector and data vector H (k) of the dimension, the noise model identification and at the same time into consideration. Least square method can only obtain process model parameter estimation, and augmented least squares method at the same time can obtain noise model parameter estimation, if noise model for the average sliding model,, it can only use RELS algorithm to obtain unbiased estimation. When the data length is bigger, the identification accuracy is lower than maximum likelihood method.)

分布估计算法，是一个数据包，能实现群的一般算法(Distribution estimation algorithm, which is a packet, can achieve the group of the general algorithm )

Function matlab to plot points with more flexibility

均匀线阵列数字波束形成matlab程序，与大家一起分享(Uniform linear array digital beamforming matlab program to share with you)

Inverse Filters on matlab

NSGA-2 全部程序，你能够学到很多有用的知识，希望能够帮助到大家(NSGA-2 all the procedures, you can learn a lot of useful knowledge, hoping to help to everyone)

说明：  这是一个小巧的指针类.在这里提供了两个主类CountedPtr和BackPtr,可以使用在任何环境中(This is a small target category. Here the two main categories CountedPtr BackPtr and can be used in any environment)