shiyupinyutu

使用matlab语言设计FIR有限冲击响应滤波器，可以计算滤波器参数(matlab fir )

LDPC的MATLAB源代码，主要可以参考C语言程序的MATLAB调用方法(LDPC The MATLAB source code, can refer to the main C language program of the MATLAB call method)

利用slm方法解决在ofdm系统中降低PAPR问题(slm slove the problem of papr)

说明：  这是用matlab开发的pso工具箱，直观实用，对做这方面研究的人员很有用处(this is the development of PSO Matlab Toolbox, easy to use and the right to do this study of useful)

李纯明最新实现的局部活动轮廓模型的图像分割，比CV模型方法好很多。包含所实现的论文Minimization of Region-Scalable Fitting Energy for Image Segmentation(Li Chunming latest realization of the local active contour model for image segmentation, much better than the CV model approach. The paper contains the realization of Minimization of Region-Scalable Fitting Energy for Image Segmentation)

fuzzy pid and pid with disturbance included

synchronisation of chaos systeme based on observator matlab

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.)

本matlab程序的功能是利用人工神经网进行故障模式识别(Fault recognition using ANN)

PQ分解法求网络潮流，超详细的注解，可以仔细分析此程序，然后学着自己编写(PQ decomposition method the network trend, ultra-detailed annotations can carefully analyze this program, and then learn to write their own)