نتایج جستجو برای: huang transform hht
تعداد نتایج: 123314 فیلتر نتایج به سال:
Use of smart sensor technology along with intelligent signal processing plays a crucial role in the implementation and working of ultrasonic wave based damage detection system. In this work, the interaction of A0 Lamb mode with damages like crack and delamination are studied. Piezoelectric Wafer Active Sensors (PWAS) are used for generation of Lamb waves to detect damages in metal and composite...
Identifying key elements of the ECG signal in modern day's diagnostic devices is crucial. Making a preliminary assessment of a patient during emergency situations, i.e. before arriving to the hospital, is starting to be a generally accepted practice in more and more countries. This article proposes a possible method of differentiating the T-wave from other features of the ECG signal based on th...
1Department of Civil and Environmental Engineering, University of Delaware, Newark, DE 19716, USA 2Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA 3Departments of Mathematics and Statistics and Molecular Physiology Biophysics, The University of Vermont, Burlington, VT 05405, USA 4Civil Engineering Specialty, Division of Engineering, Colorado Scho...
In this paper, the wind direction (WD) behaviour with respect to variability of other meteorological parameters (i.e., rainfall (R), temperature (T), relative humidity (Rh), solar radiation (SR) and speed (U)) was studied in a multi-scale way. To carry out study, Hilbert–Huang transform (HHT) framework applied Guadeloupe archipelago dataset from 2016 2021. Thus, time-dependent intrinsic correla...
*Correspondence: [email protected] 2Department of Mathematics and Institute of Mathematical Research, Universiti Putra Malaysia (UPM), Serdang, Selangor 43400, Malaysia Full list of author information is available at the end of the article Abstract In this paper, we extend Hartley and Hartley-Hilbert transformations (HT and HHT, respectively) to a certain space of tempered distribution...
Ensemble empirical mode decomposition (EEMD) is a noise-assisted data analysis method which decomposes a signal into a collection of intrinsic mode functions (IMFs). There nevertheless appears a multi-mode problem where signals with a similar timescale are decomposed into different IMF components. A possible solution to this problem is to recombine the multi-mode IMF components into a proper si...
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