PFC

Non-metric label propagation 的MATLAB 实现源码(the code of non-metric label propagation by matlab)

here is a code for some basic operations on speech signal..

说明：  一个OFDM通信系统的matlab源程序，相信很多学通信的同学都用得着。(an OFDM system Matlab source, I believe many of the communications school students are worthwhile.)

利用MATLAB GUI设计实现图像处理的图形用户界面，利用MATLAB图像处理工具箱 实现以下的图像处理功能。 1、 采用matlab Guide设计图像界面与按钮界面。 2、 连接摄像头，编写MATLAB初始化程序。 3、 用摄像头采集一幅图像，并能实现保存（使用控件按钮保存）。 4、 设计按钮实现对图像进行任意的亮度和对比度变化调节，显示和对比度变化前 后的图像 5、设计按钮实现用户能够用鼠标选取图像感兴趣区域，显示和保存该选择区域。 (Image processing using MATLAB GUI design graphical user interface, using the MATLAB image processing toolbox Implement the following image processing functions. 1, Guide design based on matlab image with the button interface. 2, connect camera, write MATLAB initialization. 3, use camera to collect an image, which can be saved using the control button to save). 4, design button implementation for any changes in brightness and contrast adjustment, display and contrast changes before After the image of the 5, design interest to be able to use the mouse to the image button to achieve the user area, display and save the selected area. )

Implementation of K-MEANS classification of 2D data of this code, the high speed

说明：  谢菲尔德大学开发的遗传算法工具箱，内有全部操作函数(University of Sheffield developed genetic algorithm toolbox, which has all operating functions)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

非线性动力学、分岔 Matlab 程序实现，绘出系统状态变量随参数变化分岔图，绘图参数对应的系统各周期及混沌状态的时间历程图、相轨迹图、Poincare映射图(Nonlinear dynamics and bifurcation are realized by MATLAB program. The bifurcation diagram of system state variable with parameter variation is drawn. The time history diagram, phase trajectory diagram and Poincare map of each period and chaos state corresponding to system parameters are drawn.)

BPSK 数字调制与解调 运行环境 matlab simulink(BPSK Digital Modulations and demodulations in SIMULINK. )

Instance Base Learning example