chapter-4

本书以最新版的MATLAB6为依据，详细介绍了MATLAB的基础知识及其在图形绘制和图像处理方面的应用(The book is based on the latest version of MATLAB6, details the basics of MATLAB and its graphics rendering and image processing applications)

MATLAB 7.0编程基础基础源程序,很经典(MATLAB 7.0 basis source based programming, classic)

Mimo Channel estimation for transmit diversity

this matlab is used widely there

MSK modulation and demodulation with carrier recovery

matlab实现灰度图像装换成彩色图像，可以使用先验图像，也可不用，不用的话自动使用热色系(use matlab to change Color image into gray image)

Matlab编写的纵向平面内无控弹道仿真程序，（内含气动数据），采用线性插值与4阶龙格库塔法解算常微分方程组(The longitudinal plane Matlab prepared uncontrolled trajectory simulation program (includes aerodynamic data), using linear interpolation with four first-order Runge-Kutta method ODE solver)

A full tutorial about matlab (learn matlab from scratch)

一个用于三相电源的Park变换的说明程序(Park conversion for three-phase power )

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)