1

这是《MIMO-OFDM Wireless Communications with MATLAB》书中的源程序，这本书是关于MIMO-OFDM的新书，非常有用啊.备注：转载于http://download.csdn.net/source/3248044(This is the " MIMO-OFDM Wireless Communications with MATLAB" source book, this book is a new book on MIMO-OFDM is very useful to ah. Note: reproduced in http://download.csdn.net/source/3248044)

Wave Player With Effects And Analysis

半盲估计算法利用很少的导频符号，以LMMSE准则来估计、初始化信道系数，运用的两种算法进行对比，牺牲极小的带宽而尽可能准确的传输有用信息(Half blind algorithm using little pilot.finally symbols, with LMMSE criteria to estimate, initialization, the use of the channel coefficient two algorithm is compared, and sacrifice of tiny bandwidth and accurately as possible transmission useful information )

some books and some codes based on optical fiber

Serial com communication

On the splitting method for VQ codebook generation by using Matlab

牛顿插值和三次样条插值的matlab实现(Newton interpolation and cubic spline interpolation)

A Book published in 2010 on error control coding using matlab(A practical guide to error-control coding using matlab)

This matlab code can be used to find the nearest cluster head in the given cluster

In a multiple transmit antenna, single antenna per receiver downlink channel with limited channel state feedback, we consider the following question: given a constraint on the total system-wide feedback load, is it referable to get low-rate/coarse channel feedback from a large number of receivers or high-rate/high-quality feedback from a smaller number of receivers? Acquiring feedback from many receivers allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. We show that there is a strong preference for obtaining high-quality feedback, and that obtaining near-perfect channel information from as many receivers as possible provides a significantly larger sum rate than collecting a few feedback bits from a large number of users.