Matlab7011478617

对超声电机摩擦驱动的仿真，是基于赫兹模型的(Friction of ultrasonic motor-driven simulation, is based on Hertz model)

三电平空间矢量仿真，采用M函数和模块混合编写，方便向DSP移植(Three-level space vector simulation, using M functions and modules prepared by mixing to facilitate migration to the DSP)

这篇文章介绍了离散卡尔曼理论和实用方法，包括卡尔曼滤波器及其衍生：扩展卡尔曼滤波器的描述和讨论，并给出了一个相对简单的带图实例(This article describes the discrete Kalman theory and practical methods, including Kalman filter and its derivatives: Extended Kalman Filter described and discussed, and gives a relatively simple band diagram examples)

运筹学的算法，用matlab实现， matlab for OR one by one (matlab for OR)

感知器算法的基本思想是，对初始的或迭代中的增广权矢量 ，用已知的训练模式检验它的合理性，当不合理时，对其进行校正，校正方法实际上是最优化技术中的梯度下降法，上传的是用matlab解决感知器问题。(The Perceptron Algorithm The basic idea augmented weight vector of the initial iteration, the known training mode to test it reasonable, unreasonable, its correction, the correction method is actually the most optimization techniques the gradient descent method, upload matlab to solve perception problems.)

topsis matlab code for multi criteria decision

光伏并网逆变系统电流电压双闭环控制，测试成功，绝对可用！(Photovoltaic inverter current and voltage double-loop control system, the test is successful, absolutely free!)

关于有限元分析的可以使用的matlab代码，对于FEM编程可以节约不少时间。(Finite element analysis on the matlab code can be used, for FEM programming can save a lot of time.)

说明：  文件传输限制分多次上传，其他文件可以查看我的上传资料 本实验使用matlab神经网络工具箱搭建CNN网络实现手写字识别，里面附数据集和训练好的网络，准确率可达99%。 1.打开matlab2018 2.将路径设置为当前文件所在路径 3.直接运行test7_run.m即可得到网络在测试集里的准确率以及分类错误的样本。 test7_cnn_hwr.m：训练的程序 test7_run.m：测试测试集的代码，直接读取存储在net_trained.mat训练好的网络， 对测试样本进行分类，统计准确率。(In this experiment, we use matlab neural network toolbox to build CNN network to realize handwritten word recognition, which is attached with data set and trained network, with an accuracy of 99%.)

This package contains some MatLab tools for multi-scale image processing. Briefly, the tools include: - Recursive multi-scale image decompositions (pyramids), including Laplacian pyramids, QMFs, Wavelets, and steerable pyramids. These operate on 1D or 2D signals of arbitrary dimension. Data structures are compatible with the MatLab wavelet toolbox. - Fast 2D convolution routines, with subsampling and boundary-handling. - Fast point-operations, histograms, histogram-matching. - Fast synthetic image generation: sine gratings, zone plates, fractals, etc. - Display routines for images and pyramids. These include several auto-scaling options, rounding to integer zoom factors to avoid resampling artifacts, and useful labeling (dimensions and gray-range).