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Abstract Background: Healthcare professionals, particularly anesthesiologists, nurses, and dental staff, are routinely exposed to inhalational anesthetic agents such as nitrous oxide and halogenated gases. Although scavenging and ventilation systems have reduced ambient levels, concerns remain regarding reproductive risks associated with chronic exposure. Previous studies have yielded inconsistent results.
Abstract In this paper, we propose a continuous wavelet transform and iterative decrement algorithm to decompose the light detection and ranging (LiDAR) full-waveform echoes into a series of components, each of which can be assumed as Gaussian essentially. We calculate the scale of continuous wavelet transform in real time according to the relationship between the center frequency of the mother wavelet and the approximate frequency of the transmitted laser pulse.
Abstract The light detection and ranging (LIDAR) full-waveform echo decomposition method based on empirical mode decomposition (EMD) and the local-Levenberg–Marquard (LM) algorithm is proposed in this paper. The proposed method can decompose the full-waveform echo into a series of components, each of which can be assumed as essentially Gaussian. The original full-waveform echo is decomposed into the intrinsic mode functions (IMFs) and a final residual by using the EMD first.
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