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- W2316408098 abstract "该文研究了经验模式分解(Empirical Mode Decomposition，EMD)方法在红外气体检测中的应用。针对红外气体浓度信号的特点对算法进行了改进，使得算法能够在不分解出所有IMF(Intrinsic Mode Function)分量的情况下，正确提取所需的IMF分量。与低通滤波和锁相等方法进行了比较分析，结果表明，改进后的EMD算法具有所需数据量少、计算量小、提取的有用信号能量损失少等优点，可以快速识别气体浓度的变化，有效提高气体浓度测量的精度，适用于在线实时检测。" @default.
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- W2316408098 date "2011-04-12" @default.
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- W2316408098 title "The EMD Method and Its Application to Signal Processing for Infrared Gas Detection" @default.
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- W2316408098 doi "https://doi.org/10.3724/sp.j.1146.2007.00552" @default.
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