Matlab-learning-material

对仿真信号进行小波分解，进行小波阈值降噪处理(Wavelet Denoise)

】UWB 以其高速率、高频谱利用率、低成本、低功耗和应用范围广等一系列优点受到业界前所未有的关注。正是 由于其高性能、低成本的无线数据通信能力，成为实现无限个人局域网的富有竞争力的技术之一。在介绍超宽带技术(UWB)基 本特点和原理的基础上，重点讨论了该技术在家庭网络中应用的优势和实现，并介绍了超宽带技术在其他方面的最新应用。(】 UWB with its high-speed, high spectral efficiency, low cost, low power and wide application and a series of advantages unprecedented attention by the industry. It is precisely because of its high-performance, low-cost wireless data communication capabilities, unlimited personal LAN to achieving competitive technologies. Introducing the ultra-wideband technology (UWB) basic characteristics and principles, based on a focus on the application of technology in the home network and realize the advantages, and describes other aspects of UWB technology in the latest application.)

说明：  S变换的MATLAB实现程序。写的很具体。(S transform)

this code is for interpolationS27Q

Matlab based program on Digital signal processing and DSK processor

Generate Data for target tracking

Matlab的Simulink简明教程，简单易学，值得一看(Simulink)

描述了通信中常用的同步算法Gardner，并用matlab实现了相应的算法。(The described communication the synchronization algorithm Gardner, and the corresponding algorithm using matlab.)

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)

LDPC with noise AWGN