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2下载:
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
addA
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Adaptive Filter. This scr ipt shows the BER performance of several types of equalizers in a static channel with a null in the passband. The scr ipt constructs and implements a linear equalizer object and a decision feedback equalizer (DFE) object. It
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Matlab程序,用于比较线性均衡器、判决反馈均衡器(DFE)、盲最大似然序列估计均衡器(MLSE)等误码率性能。-Matlab procedures used to compare the linear equalizer, decision feedback equalizer (DFE), Blind maximum likelihood sequence estimation equalizer (MLSE), such as bit error rate performance.
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通过MATLAB软件;通过仿真得出性能曲线;从而比较bpsk的性能-The bit-error rate (BER) of binary phase-shift keying
in Rayleigh fading, using the Alamouti transmission scheme and
receiver selection diversity in the presence of channel-estimation
error, is studied. Closed-
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介绍了一种基于词网的最大似然线性回归无监督自适应算法,并进行了改进。根据解码得到的词网估计变换参数,词网的潜在误识率远小于识别结果,因此可以使参数估计更为准确。传统的一个很大缺点是计算量极大,较难实用,对此本文提出了两个改进技术:1利用后验概率压缩词网;2利用单词的时间信息限制状态统计量的计算范围。实验测定,误识率比传统相对下降了。-Introduced the term network based maximum likelihood linear regression unsupervise
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:自适应技术在近年来得到越来越多的重视,其中应用广泛的包括,-.、,//0,该技术利用少量特定
人数据就可以调整码本,快速地提升识别性能,它要求原始的码本有很好的说话人无关性。本文介绍了结合
,//0 自适应的说话人自适应训练(1234536 -74289:3 649<9<=,以下简称1- )算法,这种方法将每个说话人码本
视为说话人无关码本经过线性变换的结果,在此基础上训练的说话人无关码本更有效剔除了说话人相关信
息,因此在说话人自适应中时能根据特定数据调整更好地逼
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In this paper, we present a novel data-based method for simultaneous Maximum Likelihood
(ML) symbol and carrier-frequency o畇et estimation in Orthogonal frequencydivision
multiplexing (OFDM) systems. Statistical properties introduced by the cyclic
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参数估计,最大似染发、最小二乘法,Monte_Carlo法仿真10000点
-Parameter estimation, maximum likelihood hair, least square method, Monte_Carlo 10,000 points for Simulation
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fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!.
Given the samples of a laplace distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = 1/(2*b)*exp(-abs(x-u)/b)
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fit_ML_normal - Maximum Likelihood fit of the log-normal distribution of i.i.d. samples!.
Given the samples of a log-normal distribution, the PDF parameter is found
fits data to the probability of the form:
p(x) = sqrt(1/(2*pi))/(s*x)*
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信号处理中参数最大似然估计的仿真程序设计-Maximum likelihood parameter estimation simulation
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针对多径效应的影响,提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号,采用单样本数信号矢量构造了一个前后向矩阵束,并利用两个酉矩阵对该矩阵束进行降维处理,最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵,可在低
信噪比和单样本数情况下,有效地克服多径效应,实现同时多目标低仰角估计,相比最大似然算法,避免了谱峰搜索,计算量小。仿真结果验证了该算法的有效性。-To overcome the multipath e
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确定性最大似然来进行DOA估计,在本设计中已经进行过仿真了。可以放心使用-For deterministic maximum likelihood DOA estimation, in this design has been simulated
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matlab实现:①递推增广最小二乘参数估计(RELS)②确定性系统的递推梯度校正参数估计(RGC)③递推最小二乘参数估计(RLS)④递推极大似然参数估计(RML)⑤递推随机牛顿参数估计(RSNA)-Matlab: (1) augmented recursive least square parameters estimation (RELS) (2) of a deterministic system recursive gradient correction parameter estima
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用于参数估计的极大似然估计法,简单,适用,方便-Maximum Likelihood method for parameter estimation,Simple, convenient, applicable
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“Applied Econometrics using MATLAB”配套的计量经济Matlab包-MATLAB code for:
1. least-squares, simultaneous systems (2SLS,3SLS, SUR)
2. limited dependent variable (logit, probit, tobit) and Bayesian variants
3. time-series (VAR, BVAR, ECM) estim
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采用最大似然交替投影迭代的方法对信号进行DoA估计,很实用-Alternating projection iterative maximum likelihood method the signal DoA estimation, it is practical
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超宽带系统链路matlab仿真程序源码超宽带系统简单易懂仿真平台,有简单易懂界面.包含可替换的脉冲成型(半余弦脉冲)、IEEE802.15.3a的修正SV信道、最大似然信道估计、Rake接收机等模块块,能实现mmonte carlo仿真求误码率。可添加多址接入、编码等功能(维特比编解码、帧同步的程序源码由本人同学开发)。入口主程序源码uwbsim.m编解码程序源码:bin2deci.m;bini2
-Ultra-Wideband System Link matlab simulation
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统计信号处理,参数估计的方法,包括:最大似然,最小二乘方法,Monte_Carlo-Statistical signal processing, parameter estimation methods, including: maximum likelihood, least squares method, Monte_Carlo
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The method of maximum likelihood corresponds to many well-known estimation methods in statistics. For example, one may be interested in the heights of adult female giraffes, but be unable to measure the height of every single giraffe in a population
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