搜索资源列表
blast
- MATLAB ZF MMSE db.mminnorm.mmatlab，File->Set Path->Add Folder。 db-MATLAB ZF MMSE db.mminnorm.mmatlab, File-
ComparisonsofbiterrorProbabilitieswithAdaptiveMMSE
- 自适应MMSE多用户检测的误码率性能比较。-Adaptive MMSE multi-user detection BER performance comparison.
MMSEfinal
- 自己编写的mmse equalizer代码，完全可以正确运行-Mmse equalizer I have written code can be run correctly
mmse-VBLAST
- VBLAST系统使用MMSE译码算法的调制解调程序-VBLAST using MMSE decoding Algorithm
LinearReceivers
- Linear CDMA Receivers Like Decorrelator MMSE and Matched filters efficien and fast code
FSEDFE
- 自适应均衡器设计，采用分数间隔、判决反馈结构，MMSE算法。-Adapt a FSE+DFE combination for square M-QAM over T/2-spaced microwave channels with AWGN initialized by Unbiased MMSE-FSE receiver
mmse
- 解相关及最小均方误差和传统多用户检测器的比较-Decorrelating and MMSE and traditional multi-user detector comparison
ZF-MMSE
- 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
dicisionfeedbackequalizer
- about DFE,RLS,MMSE, channel
MMSE-MUD
- 改算法描述了基于最小均方误差的多用户信号检测-MMSE,MUD,CDMA
lesson8
- 信道均衡 目的和原理 MLSE、 DFE、 ZF/LMMSE均衡 干扰抵消 原理 导频干扰抵消和多码道干扰抵消 HSDPA简介 主要信道 接收机结构 -Channel equalization purposes and principles of MLSE, DFE, ZF/LMMSE equalizer pilot interference cancellation principle of int
SC_FDE_system_frequency-domain-equalization-algori
- 。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback
V-BLAST
- 本程序是对V-BLAST系统及其检测算法的仿真，可采用BPSK,QPSK,16QAM,64QAM调制。检测算法为ML，MMSE,ZF,以及采用迫零的连续干扰消除检测算法。-V-blast ml mmse zf
MMSE-DFE
- MINIMUM MEAN SQUARE ERROR-DECISION FEEDBACK EQUALIZER IN MIMO SYSTEM
Hybrid-MMSE-DFE
- this code is for the equalizer used in the communication this is an hybrid system of MMSE and DFE equalizer