• The maximum mean power estimation timing recovery algorithm and the maximum-likelihood carrier phase estimation algorithm are employed.

    采用了最大平均功率定时同步算法和最大似然载波相位估计算法。

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  • The multi-user detection algorithm based on the EM method is used to look for the maximum-likelihood estimation of users' data iteratively in a DS-CDMA system.

    基于EM方法的多用户检测算法采用EM迭代方法来求解DS-CDMA系统中各用户发送数据的最大似然估计解。

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  • A near maximum-likelihood (ML) multiuser detection algorithm based on unconstrained optimization approach is proposed for code-division multiple access (CDMA) systems.

    针对码分多址(CDMA)系统提出了一种基于无约束最优化的近最大似然多用户检测算法。

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  • Aimed at the existing of minor differences of the signal envelopes, a specific radar emitter recognition algorithm is proposed based on the signal decimation and the maximum-likelihood criteria.

    研究了在信号包络存在细微差异前提下,基于信号抽取与最大似然准则的特定辐射源识别算法。

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  • This model function is applied to NSCAT data to retrieve wind vectors, with the Maximum-Likelihood Estimator to get a set of ambiguous wind vectors and a vector filter technique to remove ambiguities.

    利用该模式函数对另一组NSCAT后向散射系数数据进行海面风场反演,采用最大似然估计确定多个风矢量解,并采用矢量中值滤波消除多解。

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  • Either the maximum likelihood estimate or the maximum a posteriori estimate may be used in place of the exact value in the above equations.

    采用最大似然估计或最大后验概率准则,用估计值来取代前面等式中的真实值。

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  • An unbinned maximum likelihood method is used in the lifetime fit with event-by-event resolution functions.

    不分道的最大似然拟合方法和逐事例相关的分辨函数在时间拟合中被采用。

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  • Also the frequency offset was estimated based on maximum likelihood (ML) principle.

    然后利用最大似然原则得到频偏估计。

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  • The Maximum Likelihood Detector is used in the receiver for joint detection using all received signals.

    接收端使用最大似然检测器,利用所有接收信号进行多用户联合检测。

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  • The computer simulation shows that the decoder can achieve maximum likelihood decoding in the environmemts of additive white Gaussian noise.

    计算机模拟表明,在加性高斯噪声下,使用该神经网络可以达到最大似然译码。

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  • Delay and computational complexity are two problems to be solved when Maximum Likelihood Sequence Estimation (MLSE) is used in wireless communication system.

    无线通信中应用最大似然序列估计,其时延和计算复杂度是必须解决的两个问题。

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  • The objective function was established based on the maximum likelihood rule, which was solved by nonlinear conjugate gradient method.

    该方法利用最大似然准则建立目标函数,同时利用非线性共轭梯度法来优化求解目标函数。

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  • In comparison with the maximum likelihood classification by field survey data, the classification precision of this model heightens 16%.

    结合实地调查数据与最大似然分类算法进行对比实验,表明该模型比最大似然总体分类精度高16%。

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  • A frequency domain adaptive maximum likelihood (ML) time delay estimation algorithm based on squared coherence function is proposed.

    提出了一种基于平方相干函数的频域自适应最大似然时延估计算法。

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  • A novel speaker adaptation method named maximum likelihood model interpolation (MLMI) is proposed.

    本文提出了一种新的说话人自适应算法———最大似然模型插值。

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  • Viterbi algorithm is a kind of maximum likelihood decoding method, which can obtain high decoding speed and cost fixed decoding time, so it is widely used in deep space communication.

    维特比译码算法是一种最大似然译码,它可以得到较高的译码速度以及译码计算时间固定,因而在深空通信中得到广泛应用。

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  • Minimum Distance algorithm is adopted to supply prior probabilities of each type required in Maximum Likelihood algorithm.

    在最大似然法的程序实现中,采用了最小距离法提供先验概率。

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  • A model and an algorithm were provided for constructing phylogenetic tree based on the principle of maximum likelihood estimate.

    利用最大似然估计原理,给出了构建系统发生树的模型和算法。

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  • In order to improve the classification accuracy of hyperspectral images, a fuzzy maximum likelihood classification method is proposed.

    为了提高超谱图像分类的精度,提出了模糊最大似然分类算法。

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  • It is seen that hierarchical Bayesian estimation is more efficient than maximum likelihood estimation through Monte Carlo simulation and an example.

    通过蒙特卡罗模拟和实例表明多层贝叶斯估计比最大似然估计更加有效。

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  • We estimate simultaneously the texture parameters of multi polarimetric channels by the method of maximum likelihood under the assumption of multiple textures.

    在多纹理假设下,采用最大似然方法来同时估计多个极化通道纹理参数。

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  • Comparing with traditional maximum likelihood detector and optimized Bayesian detector, it is demonstrated by digital simulation that this new fuzzy detector gets good control results.

    数字仿真结果表明,对比传统的最大似然检测器和最优贝叶斯检测器,这种新型的模糊检测器取得了良好的控制效果。

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  • The maximum likelihood estimators(MLE) of means and standard deviations, and the asymptotic distribution of likelihood ratio statistic were given.

    给出了正态总体均值和标准差的最大似然估计(M LE),似然比检验统计量及其渐近分布等结果。

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  • The model parameters were estimated by a maximum likelihood algorithm, which maximizes the likelihood of the observed data.

    采用最大似然估计算法,对模型中的隐含参数进行了估计。

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  • Maximum likelihood DOA estimator based on importance sampling (ISMLE) is proposed.

    提出了基于重要性抽样的最大似然方位估计方法。

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  • Maximum likelihood sequence detection (MLSE) is broadly use in the digital communication system to estimate the transferred data through the ISI channel with noise.

    最大似然序列检测技术被广泛应用于数字通信系统中来估计通过有噪声的符号间干扰(ISI)信道传输的数字数据序列。

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  • The maximum likelihood method provides a framework for accommodating rate variation and can naturally accommodate heterogeneous datasets from multiple loci and fossil calibrations at multiple nodes.

    最大似然法可以很自然地考虑这种速率差异,并且可以同时分析多个基因位点的资料以及同时利用多重化石校正数据。

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  • After several iterations, the maximum likelihood estimation and compensation of the TPC of the target can be realized more effectively.

    经过几次迭代,可以有效地实现目标TPC的最大似然估计和补偿。

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  • The property and the differential characteristic of maximum likelihood direction-of-arrival estimation (MLE)function for every variety of centrosymmetric array are investigated in the paper.

    本文着重讨论了在任意几何中心对称阵列条件下的最大似然方向估计函数的性质及其在信源真实方向上的微分特性。

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  • The property and the differential characteristic of maximum likelihood direction-of-arrival estimation (MLE)function for every variety of centrosymmetric array are investigated in the paper.

    本文着重讨论了在任意几何中心对称阵列条件下的最大似然方向估计函数的性质及其在信源真实方向上的微分特性。

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