MATLAB_S-Function

Matlab Financial Toolbox

eve plot eve plot eve plot eve plot eve plot eve plot

原为某课大作业，改进的决策树函数，使用matlab对ID3决策树算法进行了重现。支持树的建立，打印和使用。附带部分注解(A rewrite of decision tree in matlab.)

频谱感知 双门限协作感知仿真程序 仿真例程(spectrum sensing )

说明：  MIMO雷达波束形成的基本原理和部分资源代码，希望对大家有用(The basic principle and some resource codes of MIMO radar beamforming are hoped to be useful to you)

Myadams.rar算法， 进行2阶Adams运算，迭代，模拟电路电压计算，拉氏变换( Adams Arithmetic)

现代光化学综述，是对《现代光化学》的总结和基本概念介绍(Modern photochemical reviewed, is the " modern photochemical" summary and basic concepts)

《MATLAB神经网络30个案例分析》中的第12个例子，案例12 SVM神经网络的数据分类预测-葡萄酒种类识别。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 12 cases 12 data classification of SVM neural network prediction- wine species identification. Hope to have certain help to everybody! )

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.)

卡尔曼滤波器c语言代码。需要的可以下载看看，不设权限，0积分下载。(Kalman filter c language)