fbp

ACO, Ant Colony Optimization, Traveling Salesman Problem, TSP

matlab图像处理实例详解chap14——基于simulink的视频和图像处理(matlab image processing examples explain chap14- simulink-based video and image processing)

Centralized CL for multi-robot system

倒立摆建模simulink，采用基于遗传算法进行倒立摆寻优控制(simulink for inverse pendulum )

the Matlab project contains the source code used for simple watermarking using wavelet transform. Performs watermarking of the input image by decomposing the image using haar wavlet. Noise generated with normal distribution is used as the key and is added to the input image to obtain the watermarked image.

Generates a structure similar to the Claussen Shadow Fading Map but without any shadowing (to deactivate shadow fading)

采集肱二头肌做屈伸运动过程中的肌电信号，对其进行处理，进行时域和频域分析，并且计算积分肌电值，中位频率等参数，估计其疲劳过程(Collection do biceps muscle during flexion and extension signals, processes, time domain and frequency domain analysis, and calculating the integral EMG values, the median frequency and other parameters, to estimate the fatigue process)

Finland Matlab cannot do regular meshes for non-regtancular regions. However, one can manually do very coarse regular meshes for these type domains. The difficulty is with the edge data e. If this data does not correspond to the orientations given by the PDEtool geometry files, refinement will not work. The function drawedges() will display the order of the edges and their segment numbers. However, this function does not tell how the edges are oriented. However, just run the visualization, and if the refinement does not work correctly, you know the problem is with the orientatino of the edge. Remember to also correct the last two rows of the matrix e when changing the orientation. (See the documentation for initmesh for more info.)

As mentioned before, the feature fusion is an efficient step in scene understanding. We proposed to combine between the outputs of CNN algorithm, where the final features can effectively represent the scene images

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 7章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions. This is Chapter 7.)