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Magnitude modelling of HRTF using principal component analysis applied to complex values
(2014)
Principal components analysis (PCA) is frequently used for modelling the magnitude of the head related transfer functions (HRTFs). Assuming that the HRTFs are minimum phase systems, the phase is obtained from the Hilbert ...
Analysis of electric torque in single machine-infinite bus system using phase shifters
(2008-12-01)
ResumoThe main idea of this work is based on the analysis of the electric torque through the acting of the PS in the power system, provided of a control for the compensation degree (PSC). A linear model of the single ...
Analysis of electric torque in single machine-infinite bus system using phase shifters
(2008-12-01)
ResumoThe main idea of this work is based on the analysis of the electric torque through the acting of the PS in the power system, provided of a control for the compensation degree (PSC). A linear model of the single ...
Resonant (P+RES) controller applied to voltage source inverter with minimum DC link capacitor
(2011-12-28)
Voltage source inverters use large electrolytic capacitors in order to decouple the energy between the utility and the load, keeping the DC link voltage constant. Decreasing the capacitance reduces the distortion in the ...
Resonant (P+RES) controller applied to voltage source inverter with minimum DC link capacitor
(2011-12-28)
Voltage source inverters use large electrolytic capacitors in order to decouple the energy between the utility and the load, keeping the DC link voltage constant. Decreasing the capacitance reduces the distortion in the ...
Magnitude and causes of beach accretion on the eastern margin of the Tayrona National Natural Park (Colombian Caribbean)
(Universidad de la Costa, 2020)
The production function of cognitive skills : nutrition, parental inputs and caste test gaps in India
(Young Lives, 2009)
"This paper explores the determinants of children's cognitive outcomes using novel panel data from two cohorts of children in India. As in Todd and Wolpin’s study (2007), I do not find evidence supporting restrictive models ...
Music Boundary Detection using Convolutional Neural Networks: A Comparative Analysis of Combined Input Features
The analysis of the structure of musical pieces is a task that remains a challenge for Artificial Intelligence, especially in the field of Deep Learning. It requires prior identification of the structural boundaries of the ...