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Faculty of Science, University of Kragujevac , Kragujevac , Serbia
Faculty of Science, University of Kragujevac , Kragujevac , Serbia
Academy of Professional Studies Šumadija, University of Kragujevac , Kragujevac , Serbia
In this study, we explore the design, simulation, and deployment of a passive RC low-pass filter, specifically targeting its integration within Internet of Things (IoT) applications. We employed a symbolic computing environment to theoretically model the filter's frequency response, analytically deriving the transfer function and numerically validating it through simulation. Experimental verification was conducted using a virtual prototyping platform, where the filter was tested with various input signals. As a practical demonstration, the filter was implemented within a Python-based simulation of an IoT node, emulating a microcontroller setup for capturing analog signals with additive noise. The real-time processing of filtered outputs validated the filter’s capacity to diminish high-frequency noise prior to digital conversion. This study highlights the ongoing importance of analog filtering techniques in enhancing data accuracy in contemporary IoT systems.
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