Abstract
In this work, we propose a digital filter design, namely moving average filter (MAF) to be implemented on echo signal and temperature data. The echo signal data is obtained from the ultrasonic transducer, while the temperature data is obtained from the PI controller. The implementation of the moving average filter on the echo signal data will compare the second-order MAF and the fourth-order MAF. The results of the test show that the use of a digital filter makes the data smoother when compared to unfiltered data. Furthermore, the comparison of orders on the MAF filter has an impact on the filter response getting closer to the ideal characteristics if using a higher order.
Highlights
In the current era of globalization, technological developments are very rapid
We will discuss the implementation of Digital Filters
This section describes the materials and methods used in this research, including analog filter, digital filter, and moving average filter
Summary
In the current era of globalization, technological developments are very rapid. It is characterized by the presence of tools or features that can facilitate human activities. Signal communication plays an important role as a medium for transmitting the information. The signal is never free from interference or noise experienced in the process of sending information. Noise can cause the information received does not to match what was sent. For the signal to match the needs and desires, it requires a filter to sort out the signal from noise. There are two types of filters, namely, Digital Filters and Analog Filters. Each of these filters has its advantages and disadvantages. We will discuss the implementation of Digital Filters
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