网站首页

MIMO-Communication-Systems

于 2010-04-05 发布文件大小:12KB

 0  141

下载积分: 1 下载次数: 0

我要下载

代码说明：

说明：这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 (This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space time coding and decoding, based on training symbols such as communication channel estimation module.)

下载说明：请别用迅雷下载，失败请重下，重下不扣分！

发表评论

0 个回复

icatest
一个独立成分分析的测试文件，包含了几个声音文件，可以用来测试自己的盲信号分离算法。(An independent component analysis of the test file that contains a number of sound files that can be used to test their algorithm for blind signal separation.)

2009-12-24 15:22:13下载

积分：1
hamm_enc
说明：汉明窗编码功能，采用matlab开发平台实现汉明窗编码功能简易操作(Hamming window of encoding functions, the development platform used matlab Hamming window function of simple coding operation)

2008-11-26 19:46:55下载

积分：1
Folder1
Those who are working on power system optimisatio, for them here is all the load flow programs from book hadi sadat. It i the 1st part. Second part is also uploaded in this site by me

2009-05-04 19:36:25下载

积分：1
gradient
Gradient code. Use this to do gradient of image.

2009-05-13 21:21:57下载

积分：1
immotor
induction motor model

2009-11-26 16:32:55下载

积分：1
Matlab-CR
说明：使用MatlaB进行仿真，分析各种频谱感知方法，对比优缺点，展望未来发展情况(Use MatlaB simulation, analysis of various spectrum sensing method, compared the advantages and disadvantages, the future development of)

2011-03-29 21:58:38下载

积分：1
my-ACO-for-TSP
solving TSP problem with ACO in matlab

2012-06-11 21:22:29下载

积分：1
people_dense
根据视频场景计算生成人群密度热度图，统计人流分布(Given the video sequnce, this demo counts the people density and return the heat map.)

2017-11-16 20:55:33下载

积分：1
25996-a00
PCA - SIFT matlab source code

2013-11-29 10:12:02下载

积分：1
RICE-UNIVERSITY
标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is possible from M=O(Klog(N/K)) measurements. We demonstrate that it is possible to substantially decrease Mwithout sacrificing robustness by leveraging more realistic signal models that go beyond simple sparsity and compressibility by including dependencies between values and locations of the signal coefficients. )

2014-01-06 20:07:54下载

积分：1

696518资源总数
105142会员总数
2今日下载

MIMO-Communication-Systems

0 个回复

热门标签

热门下载