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VBLAST
- In this simulation, a 2 x 2 MIMO system with BPSK modulation is used. Then, the algorithm of V-BLAST is implemented. After that, weight vector is produced using ZF, MMSE and ML detectors. Finally, the BER performance is plotted. A flat fading Rayleig
MIMO_Homework
- Matlab code to perform MIMO ZF, MMSE, VBLAST and ML Decoding
Project_2
- Matlab _ MIMO + QPSK + ML/MMSE/ZF 在Matlab的平台上,应用QPSK调制,以及3种不同的探测方法,实现并模拟了2x2的MIMO功能.-Matlab _ MIMO+ QPSK+ ML/MMSE/ZF on the Matlab platform, application QPSK modulation, as well as three different detection methods, and to achieve the simulated 2x2
minnorm
- mimo天线的ML，mmse，zf，mmse-osic算法的代码-Mimo antenna ML and mmse, zf and mmse- osic algorithm code
mimo_dectection20160112
- mimo检测算法的FPGA实现，包括最小迫零检测算法和ML检测算法，已在ISE上仿真通过-mimo detection algorithms on FPGA, including a minimum zero forcing detection algorithm and ML detection algorithm has been through in the ISE simulation
mimo100
- 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
VBLAST
- In this simulation, a 2 x 2 MIMO system with BPSK modulation is used. Then, the algorithm of V-BLAST is implemented. After that, weight vector is produced using ZF, MMSE and ML detectors. Finally, the BER performance is plotted. A flat fading Rayleig
tueqvfgr
- 结合PCA的尺度不变特征变换(SIFT)算法，BP神经网络用于函数拟合与模式识别，MIMO OFDM matlab仿真,最大似然（ML）准则和最大后验概率（MAP）准则，单径或多径瑞利衰落信道仿真，时间序列数据分析中的梅林变换工具。- Combined with PCA scale invariant feature transform (SIFT) algorithm, BP neural network function fitting and pattern recognition, MI
wfnyuvzx
- 已调制信号计算其普相关密度，最大似然（ML）准则和最大后验概率（MAP）准则，数据模型归一化，模态振动，LCMV优化设计阵列处理信号，MIMO OFDM matlab仿真。- Modulated signals to calculate its density Pu-related, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Normalized data model, modal vib
npbwnqrj
- 匹配追踪和正交匹配追踪，研究生时的现代信号处理的作业，最大似然（ML）准则和最大后验概率（MAP）准则，在matlab环境中自动识别连通区域的大小,MIMO OFDM matlab仿真,matlab编写的元胞自动机。- Matching Pursuit and orthogonal matching pursuit, Modern signal processing jobs when the graduate, Maximum Likelihood (ML) criteria and maxi
dettyezw
- MIMO OFDM matlab仿真,具有丰富的参数选项,matlab小波分析程序，一种噪声辅助数据分析方法,最大似然（ML）准则和最大后验概率（MAP）准则，鲁棒性好，性能优越，连续相位调制信号(CPM)产生。- MIMO OFDM matlab simulation, It has a wealth of parameter options, matlab wavelet analysis program, A noise auxiliary data analysis method, Ma
jgynbekx
- IDW距离反比加权方法，实现串口的数据采集，使用拉亚普诺夫指数的公式，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，最大似然（ML）准则和最大后验概率（MAP）准则，一些自适应信号处理的算法，对信号进行频谱分析及滤波，MIMO OFDM matlab仿真。- IDW inverse distance weighting method, Achieve serial data acquisition, Raya Punuo Fu index using the formula, PV
sjmcbseu
- MIMO OFDM matlab仿真,添加噪声处理，真的是一个好程序，最大似然（ML）准则和最大后验概率（MAP）准则，双向PCS控制仿真，包括最小二乘法、SVM、神经网络、1_k近邻法,是小学期课程设计的题目，信号处理中的旋转不变子空间法。- MIMO OFDM matlab simulation, Add noise processing, Really is a good program, Maximum Likelihood (ML) criteria and maximum a pos
jentou
- MIMO OFDM matlab仿真,最大似然（ML）准则和最大后验概率（MAP）准则，针对EMD方法的不足。- MIMO OFDM matlab simulation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, For lack of EMD.
detection
- MIMO系统V-BLAST结构关于BER的仿真，发送符号为QPSK信号，采用ZF,QR，MMSE,ML解调技术-MIMO system V-BLAST structure simulation on BER, transmission symbol is QPSK signal, using ZF, QR, MMSE, ML demodulation techniques
MIMO_ML_ZF_MMSE
- MIMO 系统检测算法，最大似然（ML）,最小均方误差(MMSE),迫零(ZL),保证完美运行-MIMO system detection algorithm, maximum likelihood (ML), minimum mean square error (MMSE), zero forcing (ZL), to ensure perfect operation
luilan
- ML法能够很好的估计信号的信噪比,MIMO OFDM matlab仿真,欢迎大家下载学习。- ML estimation method can be a good signal to noise ratio, MIMO OFDM matlab simulation, Welcome to download the study.
tanghou_v27
- 最大似然（ML）准则和最大后验概率（MAP）准则，MIMO OFDM matlab仿真,LZ复杂度反映的是一个时间序列中。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, MIMO OFDM matlab simulation, LZ complexity is reflected in a time sequence.
ML_QPSK_MIMO
- MIMO系统中关于QPSK调制的ML算法-MIMO systems ML algorithm for a QPSK modulation
SD
- ML球解码算法，用于无线MIMO系统的信号检测，是最优解码方法-ML ball decoding algorithm for wireless MIMO system signal detection, is the optimal decoding method