SOM_Toolbox

运用firls设计的滤波器进行滤波 运用remez设计的滤波器进行滤波(The use of the filter design firls filter designed to filter the use of Remez filter)

multilayert perceptron

prim算法 kruskal算法用matlab实现 输入标准：x邻接矩阵 p节点集 输出：生成树边集 G(prim algorithm Kruskal algorithm matlab input standard: x adjacency matrix p Node Set Output: Spanning Tree margination G)

科斯塔斯环基于simulink的仿真 已封装(costas loop in simulink-based simulation Encapsulation)

针对3中不同的面目标回波仿真结果（内含有3个回波仿真结果） 用rd算法进行成像(Imaging rd algorithm for 3 different surface targets echo simulation results (contains 3 echo simulation results))

P-MAC协议的实现的matlaB代码，测试可用(P-MAC protocol)

基于SIMULINK，风电仿真所用到的模型，希望有帮助(SIMULINK, wind power simulation model used, it is helpful)

this m-file describe a power amplifier model.it is useful to model a power amplifier which has am-am and am-pm effects.

MATLAB RQA 对离散时间序列进行递归图分析然后再进行定量递归分析，是做混沌研究的一种重要方法！(MATLAB RQA recurrence plot analysis of discrete time series then recurrence quantification analysis is an important method to do chaotic research!)

说明：  半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)