Articles with "spectral moments" as a keyword



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An Efficient Approach for Seismic Analysis of Multi-Support Structures Equipped with Coupled Dampers using Spectral Moments Instead of Cross-Correlation Coefficients

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Published in 2017 at "Journal of Earthquake Engineering"

DOI: 10.1080/13632469.2016.1185053

Abstract: A formulation is developed for analyzing the dynamic response of multi-support structures with coupled non-classical damping using spectral moments instead of the frequently used cross-correlation coefficients. Its advantages are that the formulation considering the modal… read more here.

Keywords: multi support; analysis; support structures; spectral moments ... See more keywords
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Electroencephalogram Spectral Moments for the Detection of Nocturnal Hypoglycemia

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Published in 2020 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2019.2931782

Abstract: Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's physiology could increase the risk of hypoglycemia.… read more here.

Keywords: hypoglycemia; spectral moments; electroencephalogram spectral; moments detection ... See more keywords
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Exact Closed-Form Fractional Spectral Moments for Linear Fractional Oscillators Excited by a White Noise

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Published in 2017 at "ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering"

DOI: 10.1115/1.4036700

Abstract: In the last decades the research community has shown an increasing interest in the engineering applications of fractional calculus, which allows to accurately characterize the static and dynamic behaviour of many complex mechanical systems, e.g.… read more here.

Keywords: moments linear; linear fractional; closed form; spectral moments ... See more keywords
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Predictive power of cepstral coefficients and spectral moments in the classification of Azerbaijani fricatives.

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Published in 2020 at "Journal of the Acoustical Society of America"

DOI: 10.1121/10.0000830

Abstract: This study compares the classification of Azerbaijani fricatives based on two sets of features: (a) spectral moments, spectral peak, amplitude, duration, and (b) cepstral coefficients employing Hidden Markov Models to divide each fricative into three… read more here.

Keywords: predictive power; cepstral coefficients; classification azerbaijani; spectral moments ... See more keywords