搜索资源列表
ZFprecoding
- Function for ZF Precoding of MIMO Communication System Simulation with ZF and MMSE Detection and Precoding.
zf-and-mmse
- 预编码中的迫零算法和均方误差算法，在接收端做编码处理-The zero-forcing pre-coding algorithm and the mean square error algorithm, at the receiving end to do the coding process
capacity-of-ZF-and-MRT
- 关于MIMO天线的matlab仿真，有代码和仿真结果图-Matlab simulation on MIMO antenna with code and the simulation results
ITPP-ZF_DFE-4_4-4QAM
- 基于IT++的MIMO下行链路迫零判决反馈均衡（ZF-DFE）检测算法采用4QAM调制-MIMO Zero forcing decision feedback equalization (ZF-DFE) detection algorithm based IT++ using 4QAM modulation
ITPP-ZF_VB_DFE-4_4-4QAM
- 基于IT++的MIMO下行链路采用V-BLAST的ZF-DFE（ZF-VB DFE）检测算法采用4QAM调制-MIMO ZF-DFE detection algorithm using V-BLAST (ZF-VB DFE) based IT++ using 4QAM modulation
zero-forcing-alg
- zero forcing (ZF) precoding for MIMO system
P_ZF
- MIMO中利用ZF线性均衡算法，解决码间串扰问题。结果为：未均衡与均衡算法误码率和信噪比之间的关系。-MIMO utilizing ZF linear equalization algorithm to solve the ISI problem. The result is: Not balanced relations with balancing algorithms BER and SNR between.
P_ZF_SIC
- 为了解决MIMO中的码间串扰问题，采用改进的ZF-SIC算法惊醒均衡。结果显示为采用均衡算法与为采用均衡算法，误码率随着信噪比增加而增加的图像。-In order to solve the inter-symbol interference in MIMO problem, an improved ZF-SIC algorithm awakened balanced. The results show that the algorithm for the introduction of a ba
P_MMSE_SIC
- 为了解决MIMO中的码间串扰问题，采用改进的MMSE-SIC算法惊醒均衡。结果显示为采用均衡算法与为采用均衡算法，误码率随着信噪比增加而增加的图像。-In order to solve the inter-symbol interference in MIMO problem, an improved ZF-SIC algorithm awakened balanced. The results show that the algorithm for the introduction of a
zf_mmse
- MIMO系统的zf和mmse检测算法的matlab实现-zf and mmse detection algorithm matlab MIMO system implementation
LR_ZF
- 格基约减下的zf(迫零检测)算法，适用于多输入多输出系统-lattice reduction aided ZF algorithms
LR_MMSE
- 格基约减辅助的MMSE算法，可与ZF算法做比较-lattice reduction aided MMSE algorithms
Simplify-C-to-ladder-diagram
- C语言实现梯形图写法 1: AND 2: LDI 3: ANDB 4: ANDP 5: ORB 6: C1 7: T0 8: MPS1 9: LDF 10-1: MPS2 10-2: MPS2 11: ZF-C language written ladder 1: AND 2: LDI 3: ANDB 4: ANDP 5: ORB 6: C1 7: T0 8: MPS1
MU_MIMO
- 多用户MIMO预编码技术的对比，bd预编码，zf预编码，mmse预编码等，对学习多用户mimo系统很有帮助。-Multi-user MIMO precoding technology comparison, bd precoding, zf precoding, mmse precoding, etc., to learn multi-user mimo system is very helpful.
ZF-MMS-BD-SLNR
- 迫零预编码算法 最小均方误差预编码算法 块对角化预编码算法 信号泄露噪声比预编码算法的误码率和系统容量的比较-Forced zero precoding algorithm of minimum mean square error (mse) precoding algorithm block diagonalization precoding algorithm signal leak noise than the precoding algorithm of bit error rate a
prg-cdma
- this code matlab calculte the BER vs SNR of multi user CDMA system using different detectors sush as MMSE and ZF in rayleigh channel model
zf
- 获取opencl 相关信息,实现opencl的基本操作-get opencl info
Decision-Probability-Ordered-program
- MIMO系统线性检测算法误码率性能的脚本，ZF,ZF-SIC仿真及误码率检测-MIMO system bit error rate performance of linear detection algorithm scr ipt, including the MMSE, ZF, MF. Simply enter the number of receiving antennas, the number of transmit antennas.
MU_MIMO_DL_precoders
- In a MIMO system for ZF, MF, MMSE precoding three different criteria and filter simulation, and compare its different.
zf_mmse_non
- 无线通信方面，关于MMSE与ZF检测方法的性能比较。-MMSE AND ZF