NR1

自己在硕士期间用到的各种模式识别，机器学习，数据挖掘算法的matlab程序。C4_5,NN，SVM，adaboost,KNN等(During their Master used a variety of pattern recognition, machine learning, data mining algorithm matlab program. C4_5, NN, SVM, adaboost, KNN, etc.)

It will make negative of input image

经典的SEP协议，代码完全正确，以及运行验证，对初学WSN路由协议的同学很有帮助。(Classic SEP protocol, the code is correct, and run the validation for beginner students WSN routing protocol is helpful.)

各种聚类算法的matlab程序集，说明见其中的readme文件(Various clustering algorithm matlab assembly to illustrate one of the readme file, see)

最小均方ESPRIT算法，仿真了随着信噪比的变化RMSE的变化，随着信噪比的增加RMSE减小(Minimum mean square ESPRIT algorithm, and simulated with the change of SNR RMSE of change, with the increase of SNR RMSE decrease)

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.

ook modulation simulink

运用matlab仿真随机共振 。哪有那么多的说明(failed to translate)

本书详细介绍Mathematica的使用方法，本书使用最普遍的PDF阅读器阅读，共325页。应该说明Mathematica并非matlab。(The book details the use of Mathematica, the book most commonly used PDF reader to read a total of 325. It should be noted that Mathematica is not matlab.)

Taflove的FDTD书的附带程序一维FDTD算法源代码！(Taflove the FDTD program book with one-dimensional FDTD algorithm source code!)