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A compressive sensing approach to the 4W1H architecture

机译:4W1H架构的压缩感测方法

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摘要

When dealing with an elevated sensor number we may have to reduce our sampling time or the sensing features in order to achieve real time sensing. In this paper we propose a make use of the recently developed theory of Compressive Sensing to try and reduce the number of sensing as well as the sample size without loosing quality in our sampling for doing a good feature recognition.
机译:当处理增加的传感器数量时,我们可能必须减少采样时间或传感功能,以便实现实时传感。在本文中,我们提出利用最新开发的压缩感测理论来尝试减少感测的次数以及样本数量,而不会降低采样质量,从而实现良好的特征识别。

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