SeisLab-for-Matlab

sita ir mans kd par matricam

脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 TestScriptRecognition.m：测试代码 ScriptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 CrossValidate.m ：m交叉验证 (Offline Handwriting Recognition Matlab source including feature extraction, bayes classifier, K-nearest neighbor and nearest neighbor classifier. TestScriptRecognition.m : ScriptFeaExtract.m test code : Feature Extraction KNearestEstimate.m : K-nearest neighbor is estimated NearestEstimate.m : nearest neighbor is estimated BayesTrain.m : Training bayes classifier Bayes.m : Test bayes classifier CrossValidate.m : m cross-certification)

matlabWARSHELL算法，用来解决图论问题(WARSHELL ckckckkckkckckkckkck)

说明：  image task 1 by me and my friend

AODV网络协议的matlab实现，运行主函数文件，输入始点和末点的序号，该程序会自动生成图显示基于AODV的从该始点到末点的路由(Matlab AODV network protocol implementations, run the main function of the file, enter the starting point and the end point of the serial number, the program will automatically generate AODV based on the start point to the end point of the route from the map display)

一个QPSK调制解调的程序，在Matlab环境下实现。(A QPSK modulation and demodulation process in Matlab environment to achieve.)

精讲多练MATLAB第四章练习题，非常不错，都上机实验完毕(MATLAB Chapter succinctly and training exercises, very good, all-on experiment is completed)

open-loop buck converter which is operate in CCM.

to generate frequency hopping signal

概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)