OFDM-Simulation-using-Matlab

混沌时间序列 互信息法求时间延时 较好的方法(Mutual information of chaotic time series time delay Method)

GUI界面，对于灰度图像做简单处理，如平滑、锐化、裁剪、旋转、放大、缩小等。(image processing，include several functions)

基于学习的图像超分辨率重建，可以进一步了解基于学习的方法。(Learning-based super-resolution image reconstruction, we can further understand the learning-based approach.)

该压缩包内含美国麻省理工学院的MIT数据库的读取调用程序，以及mit数据库本身，基本上研究心电的学者都要用到这个数据库和调用程序，所以可免去心电研究者寻找数据库以及调用数据库的烦恼(The package includes the MIT Massachusetts Institute of Technology called the procedures to read the database, as well as mit database itself can be removed from the database area as well as the researchers call the database to find the trouble)

自适应算术编解码，按paper编写，压缩包中附有paper。(adaptive arithmetic coding and decoding, prepared by the paper, compressed paper attached.)

很好的matlab测试代码 对于了解矩阵由很大的好处啊 谢谢大家 还有下载(Very good test code for matlab matrix know a lot of benefits from the U.S. also download ah thanks)

We formulate a scheduling problem that takes into account different hardware delays experienced by the secondary users (SUs) in a centralized cognitive radio network (CRN) while switching to different frequency bands. We propose a polynomial-time suboptimal algorithm to address our formulated scheduling problem. We evaluate the impact of varying switching delay, number of frequencies, and number of SUs. Our simulation results indicate that our proposed algorithm is robust to changes in the hardware spectrum switching delay and its performance is very close to its upper bound. We also compare our proposed method with the corresponding constant switching delay-based algorithm and demonstrate that our suggestion of taking into account the different hardware delays while switching to different frequency bands is essential for scheduling in CRNs.

实现神经网络控制的rbf逼近函数，十分经典的一个例子(NNc bijin nonlinear function)

matlab编写的水准网平差程序，由测量数据可计算水准网平差结果，得到不错的水准网数据(levelling network computation by use of surveying datas and TSL application)

一个matlab程序，可以实现将excel文件转为邻接矩阵。(a programme that can transform the excel into adj_matrix in matlab)