SvPWM_alwo

说明：  使用matlabR2008a编写的多元逐步回归模型 经过调试(Prepared using matlabR2008a After debugging multiple regression model)

generalized sidelobe cancellation implented frome "Adaptive filter theory 3th edition, page 320-335" author: ب ه م ن ی ا ن د ا ن ش گ ا ه ش ی ر ا ز

针对遥感影像在定量描述土地覆盖和热环境分布方面的优越性，利用支持向量机( SVM) 分类器对遥感影像进行分类，获取土地覆盖图，利用单窗算法反演获取地表温度(For a quantitative description of the superiority of remote sensing images in land cover and distribution of thermal environment, the use of support vector machine (SVM) Classification of remote sensing image classification, access to land cover map, using a single Window Algorithms get LST)

MATLAB环境下 三相全桥电力电子仿真电路(matlab three phase whole bridge)

经典的压缩感知算法程序，对初学者具有指导意义(Classic compressed sensing algorithm program)

the test example code of dbn net, it is the example code in matlab

matlab中很多的小波的源程序，是工作或学习的必备，希望能帮到你(matlab in many of the source wavelet, is essential to work or study, and I hope to help you)

足底信息保存，关于信号的显示保存法，运行环境为Matlab。(Thenar information preservation, a signal display the save method, operating environment for the Matlab.)

小生境遗传算法在函数优化中应用—自适应小生境递阶遗传算法(Niche Genetic Algorithm in function Optimization- adaptive niche hierarchy genetic algorithm)

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.)