AWGNxindao1

By this code developed for matlab you can find out the eyes located in the image useful for red eye removal on an image

BIT PATTERN ANALYSIS OF COMMUNICATION SIGNALS

说明：  一种图像检索中纹理特征提取的方法。本文介绍了基于Gabor 滤波器和Gabor 小波变换提取纹理特征的分析方法, 以及对Gabor 小波进行了高斯归一化以提高对图像检索的速度和准确度。(An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis method, as well as Gabor Wavelet Gaussian normalized to enhance the image retrieval speed and accuracy.)

说明：  地震数据交换记录格式 本标准规定了地震勘探野外数据交换、室内处理的一种数据记录格式SEG Y Rev1(Seismic data exchange standards for record format of the field of seismic exploration data exchange, indoor handle the data recording format of a SEG Y Rev1)

分数阶傅里叶变换程序，可以设置不同的分数阶参数，实现对信号的时频分析，并具有图形显示(Fractional Fourier transform procedure, different fractional order parameter can be set to achieve the time-frequency analysis, and has a graphical display)

此代码为遗传算法优化BP神经网络的编码程序部分。(this file is the code program in the genetic algorithm.)

说明：  matlab 设备更新问题，工厂生产设备的维修与更换的最优解，附注释(matlab update equipment, factory equipment maintenance and replacement of the optimal solution, with Notes)

TD_LTE核心网中的EPC核心网引入策略及组网方案_张坤忠.pdf(Introducing strategy and networking solution _ Zhang Kunzhong.Pdf )

The purp ose of this Primer is to help you b egin to use MATLAB. It is not intendedto b e a substitute for the User s Guide and Reference The purpose of this Primer is to help you begin to use Matlab.The Primer can best be used hands-on. You are encouraged to work at the computer as you read thePrimer and freely exp eriment with examples. This Primer, along with the on-line helpfacility, usually suce for students in a class requiring use of MATLAB

In the distributed processing, where common labeled data may be not available for designing classifier ensemble, however, an ensemble solution is necessary, traditional fixed decision aggregation could not account for class prior mismatch or classifier dependencies in electronic technology. Previous transductive learning strategies have several drawbacks, e.g., feasibility of the constraints was not guaranteed and heuristic learning was applied. We overcome these problems by developing improved iterative scaling (IIS) algorithm for optimal solution. This method is shown to achieve improved decision accuracy over the earlier approaches in electronic technology