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Real Time Infrared Gas Detection Based On A Modified Emd Algorithm

机译:基于改进的Emd算法的实时红外气体检测

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摘要

Based on the analysis of the empirical mode decomposition (EMD) method, a modified algorithm for signal processing in IR optical gas detection has been presented. It extracts only the signal of interest instead of decomposing the input signal into all possible intrinsic mode function (IMF) components. In addition, a mean-envelope filtering (MEF) method is proposed to remove the unknown noise in the amplitude envelope obtained by the modified EMD (m-EMD). Experiments show that the detection precision is essentially improved. Besides, the algorithm has advantages of higher sensitivity and no "lagging" effect compared with the digital lock-in amplifier (DLIA). The performance of the algorithm offers a possibility of real time infrared gas detection.
机译:在对经验模态分解(EMD)方法进行分析的基础上,提出了一种改进的红外光学气体检测信号处理算法。它仅提取感兴趣的信号,而不是将输入信号分解为所有可能的固有模式函数(IMF)分量。此外,提出了一种均值包络滤波(MEF)方法,以消除通过改进的EMD(m-EMD)获得的幅度包络中的未知噪声。实验表明,该方法的检测精度得到了明显提高。此外,与数字锁相放大器(DLIA)相比,该算法具有更高的灵敏度和无“滞后”效应的优点。该算法的性能提供了实时红外气体检测的可能性。

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