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入门基本操作,给大家一个简单的介绍，以此来了解matlab(Getting Started Basic Operations)

二阶自抗扰控制器算法中跟踪微分器、扩张状态观测器和非线性误差反馈率的.m文件和simulink仿真图例。(Second-order tracking differentiator ADRC algorithm, the extended state observer and nonlinear error feedback rate. M file and simulink simulation legend.)

常用的各种matlab源码，方便用户使用(Matlab source code commonly used in various, user-friendly)

产生了十种随机数字，一起学习，多多指教拉(produced dozens of random digits, learning together and exhibitions Rafah)

This paper proposes an improved Z-source inverter topology. Compared to the traditional Z-source inverter, it can reduce the Z-source capacitor voltage stress significantly to perform the same voltage boost, and has inherent limitation to inrush current at startup. The control strategy of the proposed Z-source inverter is exactly the same as the traditional one, so all the existing control strategy can be used directly. A soft-start strategy is also proposed to suppress the inrush surge and the resonance of Z-source capacitors and inductors. The operation principle of the proposed topology and comparison with the traditional topology are analyzed in detail. Simulation and experimental results are given to demonstrate the new features of the improved topology.

dc to dc buck boost converter with variable frequency

分别用最邻近插值算法和双线性插值算法在matlab上实现图像的缩放.word文档。附有算法原理以及实现效果。(Image scaling using the nearest neighbor interpolation algorithm and bilinear interpolation algorithms were implemented on matlab)

为实现合成孔径雷达（SAR）图像分类算法的测试与评估，将VC/Matlab 混合编程技术应用到SAR 图像分类平台开发中，分析与 比较了4 种VC/Matlab 混合编程方法及各自优缺点，并着重研究了基于组件对象模型（COM）的VC/Matlab 混合编程方法。使用Matlab COM 编译器创建了SAR 图像分类算法组件，在VC 中调用其导出的接口函数。在此基础上，完成了SAR 图像分类平台的实例开发且 可脱离Matlab 环境运行。实验结果表明，该方法较好地发挥了VC 与Matlab 各自的优势，提高了SAR 图像分类平台开发的效率。(In order to test synthetic aperture radar （SAR） image classification algorithm，VC/Matlab mixed programming technology was used in SAR image classification platform development. Four VC/Matlab mixed programming methods were introduced and analyzed. Comparing with other three methods，the method based on component object model （COM） was studied particularly. SAR image classification algorithm component was created by Matlab COM complier，and its interface function could be invocated with VC. Using this method，a SAR image classification platform was realized. The platform could run without Matlab. The experimental result shows a good combination of VC and Matlab. So，developing efficiency could be enhanced a lot.)

kalman算法用于信道均衡，有详细的过程和均衡效果显示(kalman algorithm for channel equalization, the details of the process and balanced results show)

说明：  MIT数据库118e00心电信号的小波变化,去除噪声，采用db5，包括分解过程。(MIT 118e00)