GrayCodedMQAMoverRayleigh

matlab 文件，用于学习m文件，解释m文件的编写及用法(matlab documentation, for learning m paper explaining the preparation of the document m and usage)

说明：  MLS论文 关于MLs的论文 有推导过程 可以参考(MLS thesis paper on the MLs can refer to a derivation)

一种自适应滤波算法，可进行lms和rls算法学习和实现(An adaptive filtering algorithm, LMS and RLS algorithms can be learning and implementation )

详细分析了调频步进信号在雷达中放入应用，还有其信号处理的过程。(Analysis and Processing of Modulated Frequency Stepped Radar Signa)

matlab仿真环境下，对时隙aloha系统进行的仿真，包含伪贝叶斯估计等(Matlab simulation environment, simulation slot aloha system contains pseudo-Bayesian estimation)

MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型MIMO信道模型(MIMO channel model for MIMO channel model MIMO channel model MIMO channel model for MIMO channel model MIMO channel model for MIMO channel model)

球型机器人路径跟踪算法。 路径跟踪带带干扰 非线性PID算法(1. Circle following Parameter selection：Euler Fixed-step size:0.001 2. Run: first "robot_sim" and then "robot_plot" )

主要描述了单模光纤和多模光纤耦合对接的模场分布情况(Describes the mode field distribution of single-mode fiber and multimode fiber coupling docking)

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))

DETECTING FEATURES OF AN IMAGE