ATK-Framworker

bp神经网络的应用，这个程序简单实用，大家可以通过调试参数体会一下(bp neural network applications, this procedure is simple and practical, we can taste through the debug parameters)

数学建模清华数模讲义\model6b (Mathematical modeling Qinghua digital-analog handouts model6b)

implimentation de l histograme et l equalization sous matlab

说明：  低秩表示法对子空间结构的鲁棒恢复。图像复原低秩表示算法。(Robust Recovery of Subspace Structures by Low-Rank Representation)

matlab编程，important，good，仅供参考(matlab programming, important, good, only for reference)

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets)

说明：  本套资料,包含了各种Matlab和C++混合编程的例子和理论.是研究Matlab 和VC CBuilder的最权威和经典的例子.在网上搜集的时候发了一个下午的时间。结果发现内容太少了.不得不到我们学校的图书馆去找了。找遍了整个中国期刊全文数据库(CJFD),才找到了这几篇对与编程人员来说的有帮助和参考的文章了。发了我好几块钱了，希望对那些Matlab与Vc和Cbuilder混合编程的人员有很大的帮助了.(the sets of data, including a variety of mixed Matlab and C programming examples and theory. Research VC CBuilder Matlab and the most authoritative and classic examples. The online collection of hair at a time. The results showed very little content. Our school had to find a library. Grateful the entire CJFD (CJFD), they will find this program with a few pairs of officers help and reference of the article. I made a few good money in the hope that those with vitamin C and Matlab Cbuilder mixed programming staff have great help.)

说明：  14节点潮流程序设计基于matlab能很好收敛，扩展性强(Current program design is based on 14 nodes can be very good convergence matlab, expandability)

功率谱分析和matlab仿真 周期性分析(Power spectrum analysis and Matlab simulation )

we present a practical link adaptation algorithm for MIMO-OFDM systems. The proposed solution is based on sounding the channel periodically and choosing the optimal mode that will maximize the throughput or energy efficiency (EE) while satisfying the application’s quality of service (QoS) requirements. In addition, we address practical problems such as the computational complexity of the algorithm and determination of sounding period by novel closed form solutions and iterative algorithms. Realistic link level simulations confirm that the proposed solution achieves significant improvement over existing link adaptation algorithms when the aim is to maximize the throughput, and provides orders of magnitude gain in energy efficiency compared to poorly chosen fixed modes when used for energy efficiency maximization purposes. The resulting algorithms are implemented on a real time MIMOOFDM testbed, and we report on the experimental results.