naca0012

matlab实现的推荐系统，融合机器学习的方法，出自斯坦福大学吴恩达(matlab implementation of recommendation system, the integration of machine learning methods, from Stanford University, Wu Enda)

说明：  文章对OFDM技术作了介绍，主要涉及OFDM技术的基本原理，信道估计，同步技术等。(Articles on OFDM technology are introduced, mainly related to the basic principle of OFDM, channel estimation, synchronization technology.)

load flow study using gauss siedel method

傅立叶变换的matlab实现和傅立叶反变换的matlab实现，入口参数是：t和f，出口参数是f和t(Matlab Fourier Transform and Fourier Transform realize the matlab realize, the entrance parameters are: t and f, the export parameters are f and t)

一个在matlab下编写的关于机器人路径规划的小程序(A matlab prepared on a small robot path planning process)

Matlab 下很方便的map 插件，简单实用。(Matlab is very easy to map the next plug-in, simple and practical.)

基本克里金算法，用于代理模型的参数计算，解决可靠性计算的通用matlab方法(Basic Kriging algorithm. The model is used to calculate the parameters of the agent model and to solve the general matlab method for reliability calculation)

基于OFDMA系统的多用户资源分配算法，论文配备MATLAB代码，入门的好教材。(— Orthogonal Frequency Division Multiple Access (OFDMA) basestations allow multiple users to transmit simultaneously on different subcarriers during the same symbol period. This paper considers basestation allocation of subcarriers and power to each user to maximize the sum of user data rates, subject to constraints on total power, bit error rate, and proportionality among user data rates. Previous allocation methods have been iterative nonlinear methods suitable for ofine optimization. In the special high subchannel SNR case, an iterative root-nding method has linear-time complexity in the number of users and N logN complexity in the number of subchannels. We propose a non-iterative method that is made possible by our relaxation of strict user rate proportionality constraints. Compared to the root-nding method, the proposed method waives the restriction of high subchannel SNR, has signicantly lower complexity, and in simulation, yields higher user data rates.)

OFDM一些发展现状总结，很好的关于OFDM学习的经典文章(Some of the development of the current situation of OFDM, a very good article on the classical OFDM learning)

说明：   exp-4: To observe the BER performance a SISO system with Non coherent modulation with Rayleigh fading channels.