single_pulse

多电平逆变器仿真，不错的matlab仿真模型，适于研究(multilevel inverter)

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MATLAB与VC_混合编程实现一维小波多尺度分解_汉泽西.pdf用于电网故障检测(VC_ MATLAB mixed programming with one-dimensional wavelet multiscale decomposition _ Hanze Xi. Pdf for grid fault detection)

线性最小均方自适应滤波器设计Matlab程序。(Linear minimum mean square adaptive filter design)

Indexation 1-1 for image by FFT matlab

描述了异步通信和同步通信的的概念还有对两者的区别做出了详细的讲解(Describe the concept of asynchronous communication and synchronous communication and make the detailed explanation to the difference between the two)

文对静态图像的压缩方法作了较深入的研究，利用多分辨分析对图像进行分解，并利用小波的标量量化图像压缩编码算法对图像进行压缩，其间对原算法进行了研究和探讨；在上述理论工作的基础上，应用Matlab仿真实现了相应的算法。实验结果证明，基于小波的标量量化图像压缩编码算法是可行的和有效的。(A deep researeh on static image compression 15 presented in this paper. on the basis of theoretical work above，programming achieves corresponding algorithm. It’s proved that programming achieves corresponding algorithm image compression and image code.)

说明：  灰色系统理论提出了对各子系统进行灰色关联度分析的概念，意图透过一定的方法，去寻求系统中各子系统（或因素）之间的数值关系。因此，灰色关联度分析对于一个系统发展变化态势提供了量化的度量，非常适合动态历程分析。 计算步骤 ? 确实参考数列与比较数列 ? 对参考数列与比较数列进行无量纲化处理 ? 计算关联度(The grey system theory puts forward the concept of grey relational degree analysis for each subsystem. The purpose is to find the numerical relationship among subsystems (or factors) in the system through certain methods. Therefore, the grey relational degree analysis provides a quantitative measure for the development and change of a system, which is very suitable for dynamic process analysis. Computing steps_Independent reference sequence and comparison sequence_Dimensionless processing of reference sequence and comparison sequence_Computing correlation degree)

這是一個 Matlab的（和獨立應用）端口的出色的機器學習算法，隨機森林` - 由Leo布賴曼等。從 R -源由Andy鴻等。 http://cran.r-project.org/web/packages/randomForest/index.html（Fortran的原由Leo布賴曼和Adele卡特勒，研究港口安迪鴻和馬修維納。）當前的代碼版本是基於 4.5-29從來源 randomForest包。(This is a Matlab (and Standalone application) port for the excellent machine learning algorithm `Random Forests - By Leo Breiman et al. from the R-source by Andy Liaw et al. http://cran.r-project.org/web/packages/randomForest/index.html ( Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener.) Current code version is based on 4.5-29 from source of randomForest package.)

说明：  直接转矩控制源代码,大家共同研究.m文件等.(Direct Torque Control of source code, everyone together. M files.)