搜索资源列表
mimo-ZF
- mimo无线通信系统的ZERO-FORCING 接收机的MATLAB实现。给出了仿真图形
Single_Carrier_FDMA(SC-FDMA)matlab
- Single Carrier FDMA又称SC-FDMA或者DFT-Spread-OFDM是3GPP LTE最新提出的适用于上行传输的一种新方案。相对于OFDMA（主要用于下行），其最大的优势在于低峰值平均功率比（即PAPR）。本程序包括OFDMA，SC-FDE（单载波频域均衡）以及SC-FDMA程序，接收端采用经典的ZF和MMSE检测算法，程序短小精悍，相当经典，方便该领域的人学习与研究。
ZF-MMSE.rar
- VBLST译码算法仿真源程序 代码包括了常用的调制和解调方式。,Simulation VBLST source decoding algorithm
ZF
- 迫零均衡方法及结果，有图有说明，适合初学者使用。-Zero forcing equalization methods and results, there are pictures and instructions for beginners.
ofdm_MIMO_Rayleigh
- reigh信道环境下OFDM&MIMO技术的MATLAB代码实现-environment reigh channel OFDM & MIMO technology MATLAB code implementation
ofdm_sim
- OFDM系统中ZF均衡和MMSE均衡算法源码-OFDM system ZF equalization and MMSE equalization algorithm source code
MIMO23_ML_ZF
- MIMO 2*3系统ML和ZF检测的BER性能仿真-MIMO 2* 3 System ML and ZF detection BER performance simulation
script_ber_mimo_mmse_bpsk_rayleigh_channel
- simulation of performance of equalizer mmse and zf with technology MIMO
script_ber_mimo_zf_bpsk_rayleigh_channel
- scr ipt_ber_mimo_zf_bpsk_rayleigh_channel montre la performance de egaliseur zf avec mimo
vblast_sim
- V-BLAST仿真程序，使用ZF与MMSE进行检测-a V-BLAST simulator,which can use ZF or MMSE algorithm to detect the signal
OFDM_with_pilot
- In this Mfile, I want to investigate the performance of LSE algorithm in OFDM channel estimation with methods of equalizations like MRC and ZF. For further information see the "Xiaodong Cai and Georgios B. Giannakis, Error Probability Minimizing
zf_mmse_junheng
- mimo下行的线性预编码，分别基于ZF准则和MMSE准则。-mimo downlink linear precoding, respectively, based on ZF criteria and MMSE criterion.
cmn_v8_linear
- MIMO Two-way multihop relay network. ZF version
ZF_DFE
- Simulata ZF-DFE Pluto code on Matlab
Untitled
- MATLAB code on linear minimum mean square error (LMMSE) estimation and its application to the problem of channel equalization in digital communication systems. amr amin: code on the application of channel equalization in digital communication sys
ZF_MMSE_LMS_SATO_CMA
- 1.原始信号A，通过信道受噪声污染后的信号q，然后分别经过均衡器ZF（MMSE）得到信号U，可以画出U的分布图 2.分别应用LMS,SATO,CMA算法得到U。（其中包括最佳延迟、均方误差的计算）所有结果均以图像形式显示。-1. The original signal A, subject to noise pollution through the channel after the signal q, and then through the equalizer, respectively
LTE_channel_estimator
- LTE规范 信道估计 MMSE zf -channel estimator lte
LTE_channel_estimat2
- LTE规范 信道估计 MMSE zf -channel estimator lte
ZF--MATLAB
- 有关迫零均衡方面的研究，基于MATLAB平台的仿真，值得一看。-The study, based on zero-forcing equalizer MATLAB simulation platform, worth a visit.
Simulata ZF-DFE Pluto code on Matlab
- Simulata ZF-DFE Pluto code on Matlab