p-5

Bit error probability curve for QPSK mimo 2*1

OFDM系统的自适应功率和比特分配算法，实现系统资源的自适应分配（3)－原创(adaptive allocation for OFDM system)

说明：  支持向量机svm的matlab2.51toolbox，上传来大家分享(SVM svm the matlab2.51toolbox and upload to share)

垂直切换仿真，在LTE和WIMAX之间的切换。(Vertical handoff simulation, switching between LTE and WIMAX.)

说明：  非负矩阵分解源代码,有经典NMF，LNMF,NMFsc,developped by patrik hoyer(Nonnegative matrix factorization LNMF,NMFsc,developped by patrik hoyer)

fdtd，te波，二维，pml边界层，英文解释详细，经测试，可直接运行(fdtd, te wave, two-dimensional, pml boundary layer, English explained in detail, tested, can be directly run)

本书面向应用与编程设计、在参考国内外论著的基础上，结合作者自己的研究成果撰写。内容上由浅人深，第一章介绍了GNSS软件接收机的研究背景和各种卫星导航系统。第二章介绍了信号处理的一些相关概念。第三章介绍了卫星运动的基本理论。第四章研究GNSS信号，包括伪随机码信号、导航电文，着重以GPS和Galileo系统为例进行讨论。第五章研究了GNSS接收机的前端技术，包括天线和信号下变频原理。第六章探讨卫星信号的捕获技术。第七章讨论卫星信号的跟踪、解调和伪距计算。第八章探讨导航定位解算方法。第九章简要介绍了GNSS干扰和抗干扰技术。第十章为实用编程实践。 　　本书结合最新的有关研究成果，以便读者能参考本书获得较全面的知识。当然，也不可能面面俱到，读者在阅读本书时，需要有数字信号处理、自动控制以及卫星导航的相关知识。给出了Matlab源程序以及c++源程序，可帮助相关研究人员加快研究进度。(Book oriented programming and application design, in reference to domestic and international works on the basis of research results, combined with the author s own writing. Content from the shallow people deep, the first chapter introduces the research background of GNSS software receiver and satellite navigation system. The second chapter introduces some related concepts of signal processing. The third chapter introduces the basic theory of satellite motion. The fourth chapter studies of GNSS signaling, including pseudo random code signal, the navigation message, focused on the GPS and Galileo system as an example to discuss. The fifth chapter studies the GNSS receiver front end technology, including an antenna and a signal conversion principle. The sixth chapter discusses the satellite signal acquisition technology. The seventh chapter discusses the satellite signal tracking, demodulation and pseudo distance calculation. The eighth chapter discusses the navigation positioning solutio)

its a matlab code for the orthoganal

Pisarenko harmonic decomposition algorithm, There are cycle detection, periodic testing, Least-squares regression analysis algorithm.

说明：  TV去噪程序,传统TV算法去噪程序，读取图片后，可以直接运行。(TV denoising program)