chap9

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)

fcm的matlab实现，很简单好用，毕业论文推荐使用(fcm matlab implementation)

ADC 动态测试 亲测可用 需要自己导入整数型数据(ADC dynamic testing pro-test can be used to import an integer data type requires its own)

matlab 下经典的利用wavedec2,appcoef2,detcoef2对图像进行分解提取高低频系数完成图像压缩和重构的源程序.(matlab under the classic use of wavedec2, appcoef2, detcoef2 image decomposition extraction coefficient of the completion of the high-low frequency image compression and reconstruction of the source.)

主要介绍MATLAB中的GUI设计，从最基本的概念开始，通过实例学习，容易上手。(Introduces MATLAB' s GUI design, from the most basic concept began, through the examples of learning, easy to use.)

MLI vectorielle Simple

Interior search algorithm

信息传输 资源调度 比例公平算法 无线 比例公平(Resource scheduling proportional fairness algorithm)

average magnitude average magnitude average magnitude average magnitude average magnitude average magnitude average magnitude average magnitude average magnitude average magnitude

利用三电平中心削波自相关法实现清、浊音判定，并提取一段话音的基频参数，绘制基频曲线，并将该参数曲线合并到前面提取的短时过零率和短时能量参数曲线图中(Using a three-level center clipping from the relevant law to achieve clear, voiced determination, and extract some of the fundamental parameters of the voice, drawing the fundamental frequency curve and merge the parametric curve to the front of the extraction rate and the short-term zero short-term energy parameters graph)