Chapter4

OFDM中FPGA部分，随机化，信道编码，交织，这里主要介绍了利用RS编码实现的方法(FPGA portion of the OFDM system, randomization, channel coding, interleaving, introduces the use of RS coding method)

一篇关于802.16信道的文章，几个通信大牛的力作，里面还包括对于SUI信道的matlab基本仿真程序。相信对于搞无线的人，这篇文章的价值不言而喻！(a 802.16 Channel on the article, several large cattle communication ability, which also includes SUI channel for the basic Matlab simulation program. Believe engage in the wireless, the value of this article is self-evident!)

用matlab编的俄罗斯方块游戏,实现该游戏各种功能(Matlab code of Tetris game with)

包含九种图像评价函数，对图像进行清晰度判断并对比各种方法的时效(Evaluation function contains nine images, the image clarity and compared various methods of aging)

monte carlo bpsk ber delay

应用启发式算法-粒子群算法PSO，解决物流配送中心选址问题，结果好的解决了上述问题，值得参考。(PSO Particle Swarm algorithm using heuristic algorithm to address the logistics distribution center location problems, resulting in a good solution for this problem, it is also useful.)

一共有15个m文件，80几个函数，5000多行代码。包含了一般软件的几大块：界面、参数、算法、仿真、演示等。熟悉GUI的朋友感兴趣的问题都有所涉及：比如参数传递，多个界面的操作，m文件构造复杂界面，存取文件，多个axes，读取图片，显示图片(A total of 15 m paper, 80 in several functions, more than 5000 lines of code. Contains several large pieces of software in general: the interface, parameters, algorithms, simulation, presentation and so on. Familiar with the GUI of the Friend of interest issues are involved: for example, transmission parameters, the operation of a number of interface, m file structure is complicated interface, access to documents, multiple axes, to read pictures, show the picture)

智能天线技术是第三代移动通信系统的关键技术之一，也是国内外热门的研究课题。由于无线移动通信的信道传输环境具有复杂性和不确定性，存在多径衰落和时延扩展，因此造成了符号间串扰、同信道干扰、多址干扰等，这些干扰降低了链路性能和系统容量，智能天线技术是解决以上问题的方法之一。 本文首先阐述了智能天线和白适应波束形成的基本理论，然后对自适应算法进行了研究。对一些基本的自适应算法最小均方算法、恒模算法及递推最小均方算法进行了分析讨论，用计算机仿真的结果论证了算法的性能。针对相干干扰介绍了空间平滑技术，对传统的相干干扰抑制方法-空间平滑法进行了分析，采用改进算法有效降低了空间平滑算法的运算量。对信号波达方向(DOA)的估计是智能天线研究的另一关键问题。第四章在介绍了阵列信号处理方法的基础上，先简单介绍了Bartlett、Capon、MUSIC等空间谱估计算法，分析了信源数目过估计与欠估计情况下的MUSIC算法性能，提出一种改进算法，在信源数目有误差的情况下该算法的性能良好。第五章针对多径干扰环境，在分析MMUSIC算法的基础上，本文提出了基于低秩矩阵逼近法的改进MUSIC算法(In this paper, firstly, the author illustrates the principles of smart antenna and adaptive beam forming, and then introduces some typical adaptive algorithms, the LMS ,CMA and RLS algorithms are analyzed and discussed and simulate them in the computer to prove their capability. but they have the disadvantage of high complexity, so they are not fit for practice. The paper analyses the conventional method rejecting spatial smoothing coherent interfering signals, which is spatial smoothing technique)

具有反馈的BP神经网络Matlab实现，可用于预测。(With feedback of BP neural networks realize Matlab can be used for prediction.)

复杂网络 图论内容重要参考文献 英文文献(complex network graph theory)