• Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.

    采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理,实现噪声的分离和表面肌电信号的初步分解。

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  • Bifactorial separation classification method is a mathematical statistics method that is used bifactorial incomplete pairing model that has wide applied backgrounds.

    双因素分离聚类法是一种有广泛应用背景的处理双因素不完全配对模型的数理统计方法。

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  • A time-domain Multi-Stage Algorithm(MSA) based on the second order statistics for blind source separation of convolutive mixtures is proposed.

    该文提出一种基于二阶统计量的时域多步分解算法求解卷积混合盲源分离问题。

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  • It also provides information on the preliminary operations of analysis, preliminary separation methods, quality control and quality assurance, and statistics in chemical analysis.

    它也提供关于分析,初步的分离方法,质量管理和质量保证和在化学分析过程中的统计的试营运的讯息。

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  • Proposed a new mixed-signal blind sound source separation method: This method is based on joint probability distribution of signal statistics!

    从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的分布统计!

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  • Proposed a new mixed-signal blind sound source separation method: This method is based on joint probability distribution of signal statistics!

    从盲声源信号的独立性出发!提出了一种新的盲声源混合信号分离方法:该方法基于信号联合概率的分布统计!

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