SWCLYJ

MAC（模型算法控制），是预测控制的一种算法。本算法采用一阶环节来仿真。(MAC (Model Algorithmic Control), is a predictive control algorithm. The algorithm used to simulate first-order link.)

Commande par mode gilssant de la MSAP

实现 harris角点提取，精度达到亚像素级，是基于matlab编程的。运行结果良好 。(For harris corner extraction, precision sub-pixel level, is based on matlab programming. Good operating results.)

matlab 数字信号处理实验1代码全部 东南大学(Digital signal processing matlab code experiment a whole Southeast University)

dct precoded SLM method for PAPR reduction High Peak to Average Power Ratio (PAPR) is still a most important challenge in Orthogonal Frequency Division Multiplexing (OFDM) system. In this paper, we propose a Discrete Cosine Transform (DCT) precoding based SLM technique for PAPR reduction in OFDM systems. This technique is based on precoding the constellation symbols with DCT precoder after the multiplication of phase rotation factor and before the Inverse Fast Fourier Transform (IFFT) in SLM-OFDM System.

离散函数matlab基本用法卷积与循环卷积描述及连续信号幅度谱包络(Discrete convolution function matlab basic usage and circular convolution description and continuous signal amplitude spectral envelope)

2FSK信号的三次相位函数的matlab程序，自己编的，希望大家批评指正(cubic phase function of 2FSK)

详细介绍了自回归技术公式,同时采用此技术模拟具有空间相关性的随机风荷载,给出了用自回归技术模拟脉动风荷载的步骤以及具体 MATLAB程序(In this paper, the technology of autogressivemodel is introduced. Stochasticwind loadingw ith time and spatial correlation is generated by the autogressive-type simulationmethod, giving autogressive-type simulation process andMATLAB program)

该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。 请举出下列文件如果您发现此代码有用： Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法 http://seas.harvard.edu/〜 rkkumar radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能， getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器 makeBarFilters.m：助手为高斯函数的二阶导数滤波器 sample.png：示例图像在此演示使用(The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images. Please cite the following paper if you find this code useful: Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010 http://seas.harvard.edu/~rkkumar radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters makeBarFilters.m : Helper function for Gaussian Second Derivative Filters sample.png : Sample image for use in this demo )

matlab教程:第一章 计算机辅助设计与仿真技术概述 第二章 matlab语言基础...(matlab tutorial: Chapter Overview computer-aided design and simulation Chapter matlab language based ...)