induct-heating_half-bridge

介绍了matlab中的M文件用C语言来实现的方法(Matlab introduction of M documents in the C language to realize the method)

新型改进光双二进制传输的编解码方案 提出了改进型光双二进制信号在高速率(≥10Gbit／s)传输时预编码的一种新方案。通过分析编解码过 程，证明该信号传输时不易受码间干扰影响，能用二进制强度调制一直接检测的系统接收信号。仿真产生了该信 号的2种码型。结果表明，采用色散补偿技术能使MD NRZ和MD．RZ信号在长距离传输后克服眼图失真，MD-RZ 信号比MD．NRZ信号在传输后有更低的误码率。(Abstract：Anovel pre-coding schemeformodified optical duobinary signalswasproposed．It couldbe applied to缸ansmit high speed data mte signals(≥ 10Gbit／s)．Through analyzing the process of coding and decoding，It Was demonstrated thatmodified opticalduobinary sign alshave capabilityin reductionofpulse—to-pulseinteraction ， and couldbe di． recaymeasured through aconventionalbinaryintensitymodulationdirectdetection(IM—DD)receiver．Twomodified optical duobinary sign als’formats were simulated to generate．Sim ulation results show that MD．NRZ and MD-RZ signals’ formats Can avoid the eye diagrams’distortion for long—distance transmission，if the dispersion Can be compe nsated in each amplifier span．Moreover,theMD-RZ signalhaslowerBER than theIVID-NRZ signal afterlong-distance comm．unication．)

说明：  基于模型参考自适应的异步电机转速辨识仿真模型(Based on Model Reference Adaptive Speed Identification of Induction Motor Simulation Model)

说明：  比较三次样条插值和拉格朗日插值多项式对runge函数插值的效果并作图解释(Comparison of cubic spline interpolation and Lagrange interpolation polynomial interpolation of the Runge function and mapping to explain the effect of)

本科毕业论文，基于非高斯性最大化的盲信号分离方法，适合本科生做毕业设计。(Undergraduate thesis, based on maximization of non-Gaussian signal separation method, suitable for undergraduate students to do graduate design.)

m-sequencs generation and cross corelation between them

使用svm进行数据的预测，首先进行pca对数据进行主元分析，提取有用信息，结果显示数据拟合效果非常好(SVM is used to predict data. first, PCA is used to analyze the data and extract useful information. the results show that the data fitting effect is very good.)

这是一个粒子群算法（PSO）用于特征选择的matlab函数，用户可以自由选择目标函数优化方向、种群大小、迭代次数等等。(this is an feature selection program with particle swarm optimization of matlab ,you can chose the Function optimization direction the scale of the swarm and the number of the iteration)

分类和回归的工具箱，很好用，精确度很高，我自己很喜欢这个(Classification and regression of the toolbox, useful, high accuracy, I really like this)

vmware存储IO控制。 在vsphere环境下，当存储IO性能达到顶峰时，如何有效的控制IOps的大小，不至于将存储写爆了。(vmware storage IO control. In vsphere environment, when the storage IO performance peaked IOps how to effectively control the size, not the memory write burst.)