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Structural Health Monitoring of pavement assets through acoustic signature
Published in Andreas Loizos, Imad L. Al-Qadi, A. (Tom) Scarpas, Bearing Capacity of Roads, Railways and Airfields, 2017
R. Fedele, F.G. Praticò, R. Carotenuto, F.G. Della Corte
where fc is the spectral centroid, i.e. the “center of mass” of the spectrum; N is the sample length of the acoustic signal; pn represent the weights, i.e. the values on the y-axis; fn are the frequencies (x-axis of the spectrum).
Multimodal sentiment analysis using reliefF feature selection and random forest classifier
Published in International Journal of Computers and Applications, 2021
Sujay Angadi, Venkata Siva Reddy
In digital signal processing, the spectral centroid is used to measure the characteristics of a spectrum. The spectral centroid is determined as the weight mean of the signal frequencies, which is calculated by using a Fourier transform with weight magnitudes. The general formula to calculate spectral centroid is denoted in Equation (6). where is denoted as the center frequency of the bin , and is represented as magnitude or weighted frequency value. Additionally, a spectral flux feature is used to measure the changes in power spectrum of the signals by relating the power spectrum of one frame with prior frames.
Waveforms Eavesdropping Prevention Framework: The Case of Classification of EPG Waveforms of Aphid Utilizing Wavelet Kernel Extreme Learning Machine
Published in Applied Artificial Intelligence, 2023
Yuqing Xing, Baofang Li, Lili Wu, Fengming Yan
Figure 4 depicts the attribute distribution of 7 different types of EPG waveforms with 100 samples. The WE in both second and the third layers, BD, and the second layer SC of the G wave was found to be relatively condensed, sturdy, less bisecting with other attributes, and simple to separate. The spectral centroid is defined as a metric to characterize a spectrum in the processing of digital signals, characterizing the location of the mass center of the spectrum, having a sensible perceptual connection with the perception of the brightness of a sound, and is also known as the center of spectral mass. The BD and the second layer SC of the F wave were found to be consistent.
Classification of thought evoked potentials for navigation and communication using multilayer neural network
Published in Journal of the Chinese Institute of Engineers, 2021
Sathees Kumar Nataraj, Paulraj M P, Sazali Bin Yaacob, Abdul Hamid Bin Adom
The spectral centroid is known as the center of gravity of the magnitude spectrum based on extended Short-Time Fourier Transform (STFT) (Jahidin et al. 2013). In this study, the Spectral Band Centroid was used to find the center value of the samples for each EEG frequency band. Initially, for each frequency band signal, the PSD was obtained using the Hamming window technique (Welch method) with a 50% overlap (Jahidin et al. 2013; Zavaglia et al. 2008).