tuxiangronghejipingjia

SIMULATION DOUBLY FED INDUCTION GENERATOR

LBP特征提取的MATLAB实现，其getmapping.m定义了lbp三种不同的模式，而lbp.m则是lbp的实现，当然它只是简单的整幅图像的lbp变换（没有分区域），其中很巧妙地运用了整体移动的方法计算lbp值。(LBP feature extraction MATLAB, which getmapping.m defines lbp three different modes, while lbp.m is lbp realize, of course, it simply lbp transform the whole image (no sub-region), which is very clever use of the method of calculating the overall mobile lbp value.)

说明：  无传感器永磁同步电机matlab仿真 pid自适应 已调的还可以(Sensorless permanent magnet synchronous motor adaptive pid matlab simulation has been adjusted, they can still)

petri net toolbox for matlab

：以matlab工具箱的形式给出了静态及动态未知环境下移动机器人地图构建的仿真研究平 台。通过分析polaroid6500声纳、电子罗盘、编码器等传感器的工作原理建立了参数可调的传感器 模型。这些传感器为机器人提供位姿及环境信息。在分析已有基于hough变换的线段提取算法的基 础上提出了抑止。杂线段。现象的CIHT[Clus~r Inhibiting Hough Transform]算法．采用cIHT 对声蚋信息作环境特征提取，便于开展基于环境特征的未知环境地图构建算法方面的研究工作。(Abstract：A simulation system ofmapping for sonar-based mobile robot was developed易0 in static and dynamic unknown environments in a foFin ofmatlab toolbox．Sensor models with tunable parameters were established by interpreting and simulating the mechanism of encoder。digital compass．and polaroid 6500 sonar．These sensors provide the information of robot pose and environments．A novel C1HT[Cluster Inhibiting Hough Transfo删J algorithmfor sonar data was proposed by ana~zing existing line segments detection methods based on Hough Transform，which would make the research of feature—based mapping of unknown environment more convenient．)

机器学习中几种典型的分类算法，SVM, ML, Gaussian Mixture Model等(typical classifiers(SVM, ML) in ,machine learning.)

open loop boost converter using ramp input

Fir Filtering by making use of the FIR1 filter function in Matlab. Low-pass filter, high pass filter, bandpass filters

程序利用快速傅立叶变换及逆变换模拟了脉冲在光纤中传输时三阶色散对脉冲形状的影响(procedures using fast Fourier transform and inverse transform simulation of the pulse in fiber transmission third-order dispersion on the shape of the pulse the impact)

利用级联算法在MATLAB中得到db2的尺度函数和小波函数(Db2 cascade algorithm using the scaling function and wavelet function in MATLAB)