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Fundamental study for measuring microflow with Michelson interferometer enhanced by external random signal

机译:外部随机信号增强的迈克尔逊干涉仪测量微流的基础研究

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We propose a measuring technique for microflow based on the stochastic resonance phenomenon. The minute changed signal from the microflow hidden within the threshold of multi-threshold imaging sensors, such as CCDs, can be reconstructed using an external random signal. The differences in optical path length fringes of a Michelson interferometer were enhanced by scattered light using a micro Brownian particle solution. In this paper, we investigate the required characteristics of the external random signal numerically and experimentally. The feasibility of the proposed method was experimentally confirmed. The number of pixels required to reconstruct the signal was smaller than expected owing to internal and environmental noise signals. We show that the standard deviation of the external random signal plays an important role in enhancing the accuracy of the measurement.
机译:我们提出了一种基于随机共振现象的微流测量技术。隐藏在多阈值成像传感器(例如CCD)阈值内的微流的微小变化信号可以使用外部随机信号进行重建。使用微布朗粒子溶液通过散射光可以增强迈克尔逊干涉仪的光程长度条纹的差异。在本文中,我们通过数值和实验研究了外部随机信号的所需特性。实验证明了该方法的可行性。由于内部和环境噪声信号,重建信号所需的像素数比预期的要少。我们表明,外部随机信号的标准偏差在提高测量精度中起着重要作用。

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