搜索资源列表
ML-versus-LS
- 这是关于基于MIMO-OFDM的同步算法的研究的程序，本程序使用的是最简单的方法，即ML算法。-This is about based on mimo-ofdm synchronization algorithm research program, this program is using the most simple method, namely ML algorithm.
mimo_ML_detection
- MIMO ML detection Rayleigh channel 採用16QAM-MIMO ML detection Rayleigh channel using 16QAM
mimo-different-detection
- 此代码展示了在mimo系统中分别用ML MMSE ZF和MMSE-SIC检测算法的不同误码率曲线-This code shows the mimo system respectively ML MMSE ZF and MMSE-SIC detection algorithm different BER curves
ML-detector
- ml detection code for MIMO system
ML.m
- Maximum likelihood receiver for MIMO spatial multiplexing system
mimo
- 仿真不同MIMO接收机算法的误码率，包括MMSE、ML、迫零法-MIMO receiver algorithms for simulation of different BER, including MMSE, ML, zero forcing
mimo_ML_detection_Matlab
- mimo ML detection using Matlab-mimo ML detection using Matlab
ML-equalization-in-MIMO
- 在平稳瑞利多径信道下，用BPSK调制，用matlab 仿真由最大似然译码的性能。-It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BP
mmse-ml-vblast
- 做了一个基本的2x2的MIMO系统性能仿真测试，包含了mmse，vblast，ml等-I made a basic 2x2 MIMO system performance simulation tests, including mmse, vblast, ml, etc.
MIMO
- 在matlab的环境下，实现MIMO检测功能，包括最大似然检测（ML），最小均方误差（MMSE）检测和迫零（ZF）检测-In the matlab environment, to achieve MIMO detection, including maximum likelihood detection (ML), minimum mean square error (MMSE) detection and zero-forcing (ZF) detection
mimo-detection-
- 实现mimo的zf mmse 和ml检测算法的代码，并有针对信道已知和未知的多路径通信-realization of ZF MMSE and ML detection for MIMO. And multiple-path communication with channel known and unkonwn
BER-for-BPSK--ZF--ML-2-2
- mimo 2*2 ,采用BPSK调制，内含ZF，MMSE检测算法。-mimo 2* 2,using BPSK modulation, containing ZF, MMSE 1detection algorithm.
ML
- this code is ML detection method for MIMO channel with BPSK modulation scheme.
Maximum-likelihood_MIMO
- MIMO 最大释然检测 （ML）Maximum likelihood equalizer for MIMO system-Maximum likelihood equalizer for MIMO system .MIMO ML detection,it s very useful
MIMO
- 仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。-Multi-input multi-output (mimo) communication system simulation 2* 2 ML, ZF and MMSE detection algorithm performance, the bit error rate of three detection algorithms is given.
MiMOOfdm
- STBC OFDM (included ML MAP estimation),Alamouti_FD, CIR_estimation, Tx_data_signal_generator_Alamouti_FD
MIMO_QAM_MATLAB
- 2x2，4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM和16QAM下的性能曲线(The BER performance of 2x2 and 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM and 16QAM are compared)
BER_perf_4QAM_2x2MIMO
- 2x2MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 2x2MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)
BER_perf_4QAM_4x4MIMO
- 4x4MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在4QAM下的性能曲线(The BER performance of 4x4MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 4QAM are compared)
BER_perf_16QAM_2x2MIMO
- 2x2MIMO的误码率性能仿真，比较了ML,ZF,MMSE,ZF-SIC,MMSE-SIC在16QAM下的性能曲线(The BER performance of 2x2MIMO is simulated, and the performance curves of ML, ZF, MMSE, ZF-SIC, and MMSE-SIC under 16QAM are compared)