Low-pass filter application for noise removal in water quality data with high temporal resolution
Elisa Coraggio,
Claire Gronow,
Theo Tryfonas
et al.
Abstract:Large datasets with high temporal resolution are becoming widely available through the use of wireless sensors and other low-effort, automated data collection techniques. The higher the sampling frequency is, the more obvious and significant the noise will be due to the highly unrealistic oscillations in the observations. Machine learning techniques work well with large amounts of data, but it is essential to ensure that the data collected is as clean as possible from noise; otherwise, the machine learning alg… Show more
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