Simulink_tutorial

三个信号两个干扰的干扰阻塞法 doa估计算法(The three signal two interference blocking method )

LDPC码的C语言编译码，包含校验矩阵，备注等等(LDPC codes codec C language, including parity check matrix, notes, etc.)

几个解耦控制系统的Simulink模型，用过还行。共享一下。(Several decoupling control system Simulink model, used also OK. Sharing about.)

使用Matlab编写的一个dijkstra算法，非常的实际好用(Written using Matlab a dijkstra algorithm, a very practical easy to use)

光子学报上单目测距的经典方法，很实用，结果十分理想(Optics Monocular distance on the classic method, very practical, very good results)

内含五个程序 1.zoeppritz Aki K I 和Richards P G的纵波近似程序 2.地震记录合成程序 3.大地电磁一维正演程序 4.雷克子波合成程序 5.地震反射系数生成程序(1.zoeppritz Aki KI and Richards PG longitudinal wave approximation procedures 2. Seismogram synthesis program 3. Magnetotelluric one-dimensional forward modeling program 4. Ricker wave synthesis procedure 5. Seismic reflection coefficient generator)

asfig function for wavelet processing in wavelab

It tells you how to make a GA programme!(It is useful for a new learner to leaen GA!)

外国NB的双馈风电系统传动链仿真，外国NB的双馈风电系统传动链仿真，(this is a excellent model（drive train of wind power system with double feed induction generator ) .)

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)