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mimo(blast)
- 供初学空时编码（vblast接收）的matlab仿真程序，是关于vblast接收中ML算法的简单的仿真-for novice space-time coding (vblast receiver) Matlab simulation program, on the ML vblast Receiving a simple algorithm simulation
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
MIMOwithMLequalization
- 2X2 MIMO系统使用ML（最大似然）接受。（验证可用）-2X2 MIMO system using the ML (maximum likelihood) to accept. (Verification can be used)
ber_2x2mimo_ML
- The results for 2×2 MIMO with Maximum Likelihood (ML) equalization helped us to achieve a performance closely matching the 1 transmit 2 receive antenna Maximal Ratio Combining (MRC) case.
ML_algorithm
- MIMO系统中进行信道估计的原始代码，Matlab格式。-code with matlab format for channel estimation in MIMO system
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
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
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
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.
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.
swwtr
- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, MIMO OFDM matlab simulation, Matlab to achieve user-friendly.
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)