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在MATLAB环境下对一个地震道集作道集图(In the MATLAB environment for a set of seismic gathers map)

LEACH协议的改进SEP的Maltab仿真代码( SEP,a protocol to improve the LEACH by Maltab)

smith圆图工具MATLAB版本,可以方便的进行阻抗匹配。(smith circle diagram tool MATLAB versions, you can easily carry the impedance matching.)

永磁同步电机无速度传感器直接转矩控制，运行亲测有效(Speed sensorless direct torque control of permanent magnet synchronous motor, measured effective operation)

MAPPED WENO SCHEME FOR EULER EQUATIONS

使用多种方法预测股市的变化率 Estimate Volatility using different methods(Estimate Volatility using different methods)

说明：  Download the file porsch.tiff. Write an M-file that get the image and does the following tasks: i. Smooth the image with a 3×3 filter mask.

说明：  有源电力滤波器(APF:Active power filter)是一种用于动态抑制谐波、补偿无功的新型电力电子装置，它能够对不同大小和频率的谐波进行快速跟踪补偿，之所以称为有源，是相对于无源LC滤波器，只能被动吸收固定频率与大小的谐波而言，APF可以通过采样负载电流并进行各次谐波和无功的分离，控制并主动输出电流的大小、频率和相位，并且快速响应，抵消负载中相应电流，实现了动态跟踪补偿，而且可以既补谐波又补无功和不平衡。(APF:Active power filter))

说明：  条纹骨架提取，用来提取条纹骨架，不过效果不是特别好，大家凑合看那(stripe skeleton extraction, used to extract block skeleton, but results are not particularly good, we improvise watch)

说明：  Matlab数据统计和分析的程序，包含下面所列的多种算法的 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对样本进行分类 MainAnalysis 对样本进行主成分分析(Matlab data and analysis procedures, listed below contain a variety of algorithms MultiLineReg estimated by linear regression of a dependent variable with a number of independent variables of the linear relationship between PolyReg estimation using a polynomial regression with dependent variable a variable relationship between CompPoly2Reg using quadratic polynomial regression method is estimated that fully a dependent variable and the two since the relationship between variables with the shortest distance CollectAnaly hierarchical clustering algorithm for clustering of samples with Fisher two types of DistgshAnalysis discriminant method to classify samples on the samples MainAnalysis principal component analysis)