ruili_awgn_rocbijiao

介绍了matlab中的M文件用C语言来实现的方法(Matlab introduction of M documents in the C language to realize the method)

本代码是由matlab实现，主要功能实现了纵切碎片的完美拼接。(This code is implemented by the matlab, the main function of the longitudinal fragmentation perfect stitching.)

描述了matlab基础功能和基础代码的编写，对信号在时域和频域的特点进行分析，并介绍了几种采样方法(Describe the basic function and matlab code to write, on the characteristics of signal in time domain and frequency domain analysis, and sampling method are introduced)

mapping the signal file

数学建模 蚁群算法最短路径通用Matlab程序(Ant Colony Algorithm for shortest path Matlab source code)

matlab captcha crack

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 ，其元素 （5-1） 有： 对数列 ，可建立预测模型的白化形式方程， （5-2） 式中： ——为待估计参数。分别称为发展灰数和内生控制灰数。设 为待估计参数向量 则 按最小二乘法求解， 有： （5-3） 式中： （5-4） （5-5） 将（5-3）式求得的 代入（5-2）式，并解微分方程，有 （1，1）预测模型为： （5-6）(gray forecasting model called CM model, the G-gray of a letter, the M model for the first letter. GM (1,1), a band of a variable type of differential equation models. GM (1,1) is a sequence of single-band linear dynamic model, mainly for time series prediction. A GM (1,1) model series with a total value of observation for the cumulative production, to a new series of its elements (5-1) : The series, we can establish the prediction model albino form of equation (5-2) where :-- to question the estimated parameters. The development will be known as the gray and hygiene control within a few gray. Set parameters to be estimated according to Vector least squares method, are : (5-3) where : (5-4) (5-5) (5-3) that obtained in lieu of income (5-2)- and solutions differential equations, (1 1) Fore)

利用matlab实现burg算法的程序，不是调用pburg函数，希望能帮助要做课程作业的童鞋们。(The matlab burg algorithm program, not call pburg function, hoping to help the children ' s shoes to do course work.)

随意用MATLAB制作宋词，DIY...............(Song produced using MATLAB random, DIY ...............)

用simulink对风电场进行建模分析得到功率以及电流的仿真图(This example uses an initial state vector to start the simulation steady-state. When you make changes to the model (add, delete, rename blocks, etc), the initial state vector needs to be regenerated or disabled, otherwise Simulink signals an error when the simulation is started. To disable the use of initial state vector for this model, go to the Data Import/Export section of the Model Configuration Parameters tool and uncheck the Initial state option under the Load workspace section. To regenerate the initial state vector after a change to the model, follow the instructions given in the initialization file for this model. Type open( init_power_wind_dfig ) at the matlab prompt to view this file.)