Y877760[1].zip

说明：  波叠加的matlab源程序，来源于因特网。 谢谢大家！(wave superposition of Matlab source, and from the Internet. Thank you!)

在科学与工程计算中，最小二乘法用来拟合数据，精度很高。(Scientific and Engineering Computing, the least squares method is used to fit the data to high precision.)

根据信号的时域表达式，在matlab中求出他的自相关函数，并绘画出来(correlation spectrum)

关于最大流量的问题，涉及图论，等等，是matlab程序(On the maximum flow problem, involving graph theory, and so on, is the matlab program)

Buck converter simulation

一個用matlab編寫的mimo-ofdm的檔..提供初學者學習.(Prepared using matlab a mimo-ofdm provide beginners the file .. study.)

滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。(Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information.)

说明：  SVM支持向量机的二分法程序源码，程序能很好运行(SVM Support Vector Machine dichotomy program source code, the program is running well)

说明：  不错的遗传算法实例（别处搜集的，希望对大家有用，在此感谢原创）(Good examples of genetic algorithms (collected elsewhere, we hope to be useful, would like to thank the original))

（1） 本系统用到四种神经网络对漏电嫌疑系数进行预测，分别是BP神经网络、RBF神经网络、GRNN神经网络、Elman神经网络，通过对神经网络结构参数的设置和调试，可以得到很好的预测效果，实际值和预测值之间的误差能达到5 以内。 （2） 本系统使用matlab做GUI界面，在界面上就可以分别对这四种神经网络的结构参数进行设置，从而可以调整神经网络的结构，达到较好的预测精度。 ((1) The system used four neural network to predict the suspected leakage coefficient, respectively, the BP neural network, RBF neural network, GRNN neural network, Elman neural network, the neural network structure parameter setting and commissioning, can get very good prediction, between the actual and predicted values ​ ​ of error of less than 5 . (2) the use matlab to do the GUI interface, the interface can each of these four neural network structure parameters set, the structure of the neural network, which can be adjusted to achieve better prediction accuracy.)