Abstract
The paper considers several common digital filters of an analog signal and analyzes their effectiveness in eliminating noise and inaccuracies arising from poor quality power supply or wire noise. The filters considered are arithmetic mean, median, exponentially running mean and simple Kalman filter. To study the operation of the filters, a python program is created to simulate signals of different shapes (sine, meander, triangular, sawtooth and constant signals) and add pseudo-random noise to them. Experimental data and conclusions on the application of these filters are given. The analysis of various analog signal filters is an important area of research in electronics and signal processing. #COMESYSO1120.
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Gruzdkov, D., Rachishkin, A. (2024). Analysis of Digital Analog Signal Filters. In: Silhavy, R., Silhavy, P. (eds) Data Analytics in System Engineering. CoMeSySo 2023. Lecture Notes in Networks and Systems, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-031-54820-8_32
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DOI: https://doi.org/10.1007/978-3-031-54820-8_32
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Online ISBN: 978-3-031-54820-8
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