MMC_inverter

GMSK的matlab课程设计，有详细的课程设计文档和调制程序(GMSK in matlab curriculum design, a detailed course design documents and modulation procedures)

mat lab code for elim elim E*A = R factorization. E = elim(A) returns the elimination matrix E that gives the reduced row echelon form E*A = R. If A is square and invertible, then E = inv(A). [E, R] = elim(A) returns the elimination matrix E and the reduced row echelon form R.

主要编写了生活中几个常用的函数：二次函数、分段函数。(Mainly to write several commonly used functions in life, quadratic function, piecewise function.)

matlab毕业编程【谷速软件】应用程序启动时显示闪屏 (matlab graduate program displays a splash screen when [Valley] application launch speed software)

a.阅读的图像img_1.tif，img_2.png的文件夹中，并 他们展示于一体，这两个数字分别。 （参考函数：imread, imshow, figure, subplot） b.在matlab，观察从工作区中的图像信息面板 c.分别使用size, imfinfo,whos等功能获得的图像信息 d.添加标题的图像。 （参考函数：title） Ë 。下面的代码实现的M文件编辑器 f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) 观察结果，并确定的功set() f。保存img_1.tif目录“D： imagetest”。如果该文件夹不 存在，请首先创建这个新的文件夹。 （参考函数：imwrite） (a. Read the images img_1.tif, img_2.png given in the folder, and show them in one and two figures respectively. (referenced function: imread, imshow, figure, subplot) b. In matlab, observe the images information from the workspace Panel c. Use size, imfinfo,whos,etc functions to obtain image information respectively. d. Add title to the images. (referenced function: title) e. Implement the following codes in the M-file Editor f=imread(‘img_1.tif’) imshow(f) set(figure(1), NumberTitle , off , Name , my first image’) observe the result, and determine the function of set() f. Save img_1.tif to the directory “d:imagetest”. If the folder does not exist, please create this new folder first. (referenced function: imwrite))

基于matlab的直驱式风力发电机的仿真( simulation of direct drive wind turbines Based on the matlab)

voie recording codes

ant colony algorithm for tsp calculate the shortest path between differnt cities. traveler pass from any city onr time

计算加权加速度,单径或多径瑞利衰落信道仿真，Relief计算分类权重，详细画出了时域和频域的相关图，isodata 迭代自组织的数据分析，用MATLAB实现的压缩传感，包括最小二乘法、SVM、神经网络、1_k近邻法,仿真效果非常好。( Weighted acceleration, Single path or multipath Rayleigh fading channel simulation, Relief computing classification weight, Correlation diagram shown in detail the time domain and frequency domain, Isodata iterative self-organizing data analysis, Using MATLAB compressed sensing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Simulation of the effect is very good.)

It randomizes the order of vectors within the matrices