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该文件夹为Alamouti空时码的仿真程序，天线配置为2发2收。
主要程序的用途说明：
mainMIMO_OFDMA_2Tx_SER.m: 主程序，设置各种参数
gendata.m: 生成原始信息数据的程序
mod_2Tx_STBC_DFUSC.m：调制程序
gen_SUI_CorrCIR.m: 生成信道冲击响应的程序
get_perfectCE_2x2.m: 生成理想信道估计值的程序
chanSUI_corr_2x2.m: 发送信号通过SUI信道的程序
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单用户MIMO以及多用户MIMO的检测程序,包括最大似然检测,最小均方误差检测等的matlab实现，以及MIMO_OFDM主要程序-Single-user MIMO and multi-user MIMO testing procedures, including maximum likelihood detection, minimum mean square error detection matlab realize and the main program of MIMO_OFDM
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通信仿真，二元位信号通过加性高斯白噪声的信道，经过匹配滤波，最大后验概率和最大似然概率检测比较-Communication simulation, binary bits signals through the additive gaussian white noise, through the channel is matched filtering, maximum a posteriori probability and the maximum likelihood detection p
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高频雷达 目标检测 最大似然恒虚警方法 可用于weibull分布下的检测-High-frequency radar target detection maximum likelihood constant false police weibull distribution method can be used to detect under
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层空时码有三种普遍的检测算法：最大似然（Maximum Likelihood ,ML）检测算法、迫零（zero forcing ,ZF）检测算法、最小均方误差（Minimum Mean Squared Error,MMSE）检测算法。-There are three layers in general space-time code detection algorithms: maximum likelihood (Maximum Likelihood, ML) detection algori
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针对MPSK信号的调制识别问题，本文提出了一种新的最大似然比调制分类算法，采用平均释然比检测方法，通过对接收信号的的离散化和对主要参数的简要近似，得到了离散情况下的近似分类统计量！-MPSK signals for modulation recognition problem, we propose a new maximum likelihood modulation classification algorithm, using an average of more than relieve
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最大似然检测的相关程序，用于单用户MIMO，初学编程-Maximum likelihood detection procedures for single-user MIMO, novice programming
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1.用最大似然比的方法检测信号、判别概率等。2.Bayes检测方法检测信号。3.判别风险系数-test signal discrimination probabilityusing A maximum likelihood ratio . 2.Bayes detection methods . 3 discriminant risk factor
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MIMO系统中4发送4接收的最大似然检测算法，可自行扩展到其他发送结构-MIMO systems send four received the maximum likelihood detection algorithm, they are free to expand to other transmit architecture
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Performace analysis of Zero Forcing, Zero Forcing Successive Interference Cancellation and Maximum Likelihood detection in (2,2) MIMO system using 4 QAM modulation
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Performace analysis of Minimum Mean Square Error(MMSE), MMSE Successive Interference Cancellation and Maximum Likelihood detection in (2,2) MIMO system using 4 QAM modulation
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对信号进行检测和估计，对信号进行
最大后验估计和最大似然估计-The signal detection and estimation, the signal
Maximum a posteriori estimation and maximum likelihood estimation
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是小学期课程设计的题目，最大似然（ML）准则和最大后验概率（MAP）准则，验证可用，实现串口的数据采集，含噪脉冲信号进行相关检测,主要是基于mtlab的程序。- Is the topic of the elementary school stage curriculum design, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Verification is available, Achi
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有CDF三角函数曲线/三维曲线图，Matlab实现界面友好，FMCW调频连续波雷达的测距测角，正确率可以达到98％，有循环检测，周期性检测，最大似然（ML）准则和最大后验概率（MAP）准则。- There CDF trigonometric curve/3D graphs, Matlab to achieve user-friendly, FMCW frequency modulated continuous wave radar range and angular measurements,
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阵列信号处理的高分辨率估计，单径或多径瑞利衰落信道仿真，有循环检测，周期性检测，本科毕设要求参见标准测试模型，最大似然（ML）准则和最大后验概率（MAP）准则。- High-resolution array signal processing estimates, Single path or multipath Rayleigh fading channel simulation, There are cycle detection, periodic testing, Undergradua
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已调制信号计算其普相关密度，gmcalab 快速广义的形态分量分析，处理信号的时频分析，关于神经网络控制，最大似然（ML）准则和最大后验概率（MAP）准则，含噪脉冲信号进行相关检测,单径或多径瑞利衰落信道仿真。- Modulated signals to calculate its density Pu-related, gmcalab fast generalized form component analysis, When processing a signal frequency ana
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基于空域滤波的极大似然比、广义极大似然比、四阶累积量的广义极大似然比水下目标检测算法-Based on spatial filtering of the maximum likelihood ratio, the generalized maximum likelihood ratio, generalized maximum likelihood ratio of fourth-order cumulant underwater target detection algorithm
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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
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该程序为ISI信道下一种复杂度较低的检测算法，Viterbi算法，是对最大似然序列检测的简化。-The program is a less complex detection algorithm for ISI channels. The Viterbi algorithm is a simplification of the detection of maximum likelihood sequences.
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有循环检测，周期性检测，滤波求和方式实现宽带波束形成，可以实现模式识别领域的数据的分类及回归，连续相位调制信号(CPM)产生，含噪脉冲信号进行相关检测,基于kaiser窗的双谱线插值FFT谐波分析，最大似然（ML）准则和最大后验概率（MAP）准则，gmcalab 快速广义的形态分量分析。
- There are cycle detection, periodic testing, Filtering summation way broadband beamforming, You can a
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