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说明：  2008年4月网工真题.doc 对各位考生有很大的帮助，希望各位考上(April 2008 Network Engineering 真题. Doc candidates of you very helpful, hope you admitted to)

在matlab中用程序语言实现qpsk的仿真与模拟，简单易懂，适合初学者参考。(Matlab programming language used in the simulation and realize QPSK simulation, easy to understand, is suitable for beginners reference. )

BCH码的原理及BCH (15, 5)码MATLAB编译码仿真过程(BCH code of principles and BCH (15, 5) code decoding simulation MATLAB)

绘图函数用mcc生成的代码嵌入VC工程实例，Win32 MFC版本(mapping function using mcc generated code embedded VC engineering example, Win32 version MFC)

介绍Auto focus的文章，主要介绍了对焦技术，探测技术；包括频域分析、目标函数、目标函数效能验证、影像评估效能之因素、高斯低通滤波器参数的选取、自动对焦技术；以及相关实验结果与分析。(Introduction Auto focus of the article introduces the focus technology, detection technology including frequency domain analysis, the objective function, the objective function performance verification, image assessment of the effectiveness of the factors, Gaussian low-pass filter parameter selection, auto-focus technology and related experimental results and analysis.)

凸包 凸包问题的实现 有无数点，求能包含这些点的图形的最小面积(Convex hull Convex hull problem of realization there are numerous points, seek to include these points, the graphics, the minimum size)

运用matlab软件进行GPS的N文件读取的matlab源代码(Matlab software using the GPS reading N matlab source code files)

matlab和VC++混合编程的详细教程，相信对大家一定会有帮助！(matlab and VC++ mixed programming detailed tutorial, I believe we must help!)

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)

这是一个matlab编写的程序。实现k均值。实现成功。(it is a matlab programming.)