Wind-Turbine-in-Simulink

Orbita.m Programa para dibujar un periodo de la orbita de un satélite apartir de los parámetros orbitales Programado a partir de la hoja TUNDRA2.pdf Ramon Martínez, 20-12-2006 Parámetros k=398613.52 en (km^3)/(s^2) Re = 6377 km h=814.5 a=Re+h e=0 OmegaRot=0.9856 º /day n = sqrt(k/(a^3)) p = a*(1-(e^2)) J2=0.00108263 cos_i = OmegaRot*(-2/3)*(1/J2)*(1/n)*((p/Re)^2)*(pi/180)/(24*3600) i = acos(OmegaRot*(-2/3)*(1/J2)*(1/n)*((p/Re)^2)*(pi/180)/(24*3600))*(180/pi)

关于基于训练序列的OFDM系统全面的同步算法仿真,包括定时同步,采样同步,载波同步,代码逐点执行,顶层文件为PLC_sync_test.m(Training sequence based on the OFDM system for synchronization algorithm simulation, including the timing synchronization, sampling synchronization, carrier synchronization, code-by-point implementation, the top-level document PLC_sync_test.m)

《MATLAB语言在建筑抗震工程中的应用》侧重于介绍MATLAB语言在建筑结构抗震工程中的实际应用,涉及科学计算、动态仿真、图形处理、神经网络和模糊控制。(Application of MATLAB language in the earthquake engineering in the focused on the practical application of the MATLAB language in the earthquake resistance of engineering structures, involving scientific calculation, dynamic simulation, image processing, neural network and fuzzy control.)

简要介绍gui界面操作的教程 适合初学者 里面包含部分实例 希望对各位有用(Brief tutorial gui interface operation for beginners which contains some examples you want to be useful)

模糊控制,属于控制器的设计范畴，此处给出的是仿真图(Fuzzy control, which belongs to the design category of the controller, is given here is the simulation diagram)

matlab code for code division multiple access rayleigh fading

Approximate Genetic Algorithm

EMD的Toolbox及使用方法 经验模态分解（Empirical Mode Decomposition, 简称EMD）是由美国NASA的黄锷博士提出的一种信号分析方法.它依据数据自身的时间尺度特征来进行信号分解, 无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。正是由于这样的特点, EMD 方法在理论上可以应用于任何类型的信号的分解, 因而在处理非平稳及非线性数据上, 具有非常明显的优势。所以, EMD方法一经提出就在不同的工程领域得到了迅速有效的应用, 例如用在海洋、大气、天体观测资料与地震记录分析、机械故障诊断、密频动力系统的阻尼识别以及大型土木工程结构的模态参数识别方面。本工具书主要分以下几个部分：导论、非稳态信号介绍、一维时频信号分解、二维时频信号分解、时频影像信息提取等。 (Time frequency toolbox for use with MATLAB The Time-Frequency Toolbox has been mainly developed under the auspices of the French CNRS (Centre National de la Recherche Scientifique). It results from a research effort conducted within its Groupements de Recherche ”Traitement du Signal et Images” (O. Macchi) and ”Information, Signal et Images” (J.-M. Chassery). Parts of the Toolbox have also been developed at Rice University, when one of the authors (PG) was visiting the Department of Electrical and Computer Engineering, supported by NSF. Supporting institutions are gratefully acknowledged, as well as M. Guglielmi, M. Najim, R. Settineri, R.G. Baraniuk, M. Chausse, D. Roche, E. Chassande-Mottin, O. Michel and P. Abry for their help at different phases of the development.)

Simulink Test_singleuser_Energy_detection

GOOD PROGRAM FOR LDPC MATLAB SIMULINK