matlab-am-fm-pm

在复杂的电子系统中，影响信号接收的很多噪声为非高斯噪声，这些噪声是没有预料到的，以致破坏了接收机的功能，研究表明：这些噪声可以看成双模噪声，双模噪声从整体上讲属于非高斯噪声。(In complex electronic systems, many of the signal received by a non-Gaussian noise, the noise is not anticipated, resulting in damage to the receiver function, research shows that: the noise can be regarded as dual-mode noise, dual-mode noise As a whole is non-Gaussian noise.)

找到的一个比较实用的日历程序源码，用于开发与日期相关的程序，替代Calendar，实现其无法改变颜色等操作(To find a more practical calendar program source code, for the development of date-related procedures, alternative Calendar, realize that it can not change the color and other operations)

doing的终极地狱完整版。可以说doing的这个版本在ES2架构中算首屈一指的，虽然他说自己的作品很粗糙，但在多年来的国内MUD界来说，其严谨细致的思路及程序写法是绝对可以值得借鉴学习。可惜doing曾经说过，不太有可能再写文字MUD，如果可能再写也不会做现有hell架构的MUD。但这个版本足以是我们受益非浅了。(doing the ultimate hell full version. You can say that doing this version ES2 architecture considered second to none, although he says his work is very rough, but in the domestic sector has a MUD, its strict and meticulous thinking and program wording is definitely worth learning to learn. Unfortunately, doing once said, is not possible to write a text MUD, if possible, do not write it hell existing architecture MUD. But this version is that we greatly benefit from a sufficient.)

k近邻选取，在降维的时候需要构造邻接矩阵，需要选取近邻的个数(k neighborhood selection)

国外一个matlab工具箱，里面包括mlr,pca,pls,kpcr等(Abroad, a matlab toolbox, which includes mlr, pca, pls, kpcr, etc.)

1 掌握不同的聚类方法—基于层次与基于划分的方法 2 学会层次聚类的单连接算法 3 学会K-means算法 (A master of different clustering methods- based on hierarchical partitioning method based on hierarchical clustering 2 Society 3 Society of single-link algorithm K-means algorithm)

该算法是lte中信道编码（turbo）的仿真源代码(The algorithm for channel coding is lte (turbo) of the simulation source code)

just for GOD testjust for GOD test

说明：  BP神经网络的仿真，能够拟合各种函数，支持梯度下降法和LM两种训练算法。所有代码自己编写，没有使用matlab自带的函数，是学习的最佳范本。(The simulation of BP neural network can fit various functions and supports two training algorithms, gradient descent method and LM. All the code is written by myself, without using the functions that come with matlab, it is the best model for learning.)

递秩矩阵拟合，Matrix Completion ，Sparse Matrix Separation ，Matrix Compressive Sensing (Low-rank Matrix Fitting)