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Tdscdma系统中的载频估计程序，利用导频段，极大似然的估计算法，在MATLAB中的实现程序-Tdscdma system of carrier frequency estimation procedures, the use of derivative band, the maximum likelihood estimation algorithm, MATLAB in the realization process
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STBC_ofdm的最大似然信道估计算法实现（ML）-STBC_ofdm maximum likelihood channel estimation algorithm (ML)
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请录制语音信号集 （不能少于五个语音），然后根据最大似然估计方法，利用MATLAB设计一识别程序，并实现。-Please record a voice signal is set (not less than five voice), then maximum likelihood estimation method, using MATLAB to design a recognition program, and implementation.
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最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
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This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowled
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最大似然估计算法，应用于多参数模型，例如gps领域-Maximum likelihood estimation algorithm applied to multi-parameter model, for example, the field gps
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关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples
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在统计学中，最大后验（英文为Maximum a posteriori，缩写为MAP）估计方法根据经验数据获得对难以观察的量的点估计。它与最大似然估计中的 Fisher 方法有密切关系，但是它使用了一个增大的优化目标，这种方法将被估计量的先验分布融合到其中。所以最大后验估计可以看作是规则化（regularization）的最大似然估计。
-In statistics, the maximum a posteriori (English as a Maximum a posteriori, ab
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1）最大似然方法联合实现符号定时同步和载波同步仿真
2）泊松分布
3）贝叶斯估计
4）RANSAC方法-1) The maximum likelihood method of the joint realization of Symbol Timing and Carrier Synchronization in simulation 2) Poisson distribution 3) Bayesian estimation 4) RANSAC method
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该算法包含极大似然估计的梯度算法和快速ica算法，已经调试成功过，调试时注意所给信号x是行向量还是列向量-The algorithm contains the maximum likelihood estimation of the gradient method and fast ica algorithm, has been debugged, debugging attention given signal x is a row vector or column vector
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用MATLAB编写的单目标跟踪算法程序，采用了递归式算法，包括极大似然然估计，卡尔曼滤波，扩展卡尔曼滤波和无迹卡尔曼滤波，带有注释，易于理解。-Written with the MATLAB program single-target tracking algorithm, using recursive algorithms, including maximum likelihood estimation, Kalman filtering, extended Kalman filter an
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Maximum likelihood estimation for rayleigh function
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1 通过实验，掌握多元正态分布的最大似然估计；
2 掌握多元正态分布下的最小错误率的贝叶斯分类；
3 对其他的参数估计有更深的认识。
-1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
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EM algorithm is to solute the problem of parameter maximum likelihood estimation by Dempster, Laind, Rubin in 1977. The EM algorithm can estimate maximum likelihood only through incomplete data set.
-EM algorithm is to solute the problem of parame
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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 normal distribution of i.i.d. samples!.
Given the samples of a normal distribution, the PDF parameter is found
fits data to the probability of the form:
p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u
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fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!.
Given the samples of a rayleigh distribution, the PDF parameter is found
fits data to the probability of the form:
p(r)=r*exp(-r^2/(2*s))/s
wit
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多天线正交频分复用(MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex)系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行
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Rayleigh Maximum likelihood estimation based filter for speckle noise removal.Along with that modification done in RMLE filter with respect to homogenous mask area rotating kernel filter.
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极大似然和差分算法信道估计算法,仿真结果表明其优越性和良好的性能-The algorithm mainly shows the research process of maximum likelihood and difference algorithm, and the simulation results
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