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Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
Faculty of Technical Sciences, University of Kragujevac , Kragujevac , Serbia
In the past few decades, wavelets have found an important place in many fields due to their nature and advantages compared to other algorithms. When the focus is on signal processing, wavelets can be used as an algorithm for de-noising, frequency analysis, feature analysis, etc. The spectrogram is one of the most common visual representations of the signal in the frequency domain when the Fourier transformation is used. Wavelets have their algorithm for signal representation in the frequency domain, and it’s called scalogram due to the nature of the scaling properties of the wavelet function.
This paper explores the application of the Continuous Wavelet Transform (CWT) for generating and analyzing scalograms. Audio signals from different direct current (DC) motor sounds are used as test data to demonstrate the effectiveness of this approach. All implementations and analyses are carried out using MATLAB software. The results highlight the advantages of wavelet-based analysis in capturing time-frequency characteristics that may not be easily observed with traditional Fourier-based methods.
wavelets, frequency analysis, scalograms, continuous wavelet transform, direct current motor sounds
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