How can oversampling of sensor data overcome the effect of noise?

Oversampling sensor data increases the frequency of data collection, which can help mitigate the effects of noise by providing a more comprehensive representation of the underlying signal. By capturing more samples, the averaging process can reduce random fluctuations caused by noise, leading to a clearer signal. Additionally, with more data points, advanced filtering techniques can be applied more effectively to distinguish between genuine signals and noise. Overall, oversampling enhances the reliability and accuracy of the data analysis.