Results 11 to 20 of about 2,687,450 (307)
Electrochimica Acta, 2020 Electrochemical impedance spectroscopy (EIS) is one of the most widely used experimental tools in electrochemistry and has applications ranging from energy storage and power generation to medicine. Considering the broad applicability of the EIS technique,
Jiapeng Liu, T. Wan, F. Ciucci
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Duke Mathematical Journal, 2017 Added two remarks (4.12, 4.13).
Mei, Tao, Ricard, Éric
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IET Image Processing, 2021 Building on past work showing that the Hilbert transform can be used for edge feature enhancement, a new edge feature enhancement method is developed using a two‐dimensional (2D) isotropic Hilbert transform of the Cauchy distribution.
Ke Wang, Gustavo K. Rohde, Jian Xiao
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Beyond Phasors: Modeling of Power System Signals Using the Hilbert Transform
IEEE Transactions on Power Systems, 2020 Modern power systems are at risk of largely reducing the inertia of generation assets and prone to experience extreme dynamics. The consequence is that, during electromechanical transients triggered by large contingencies, transmission of electrical ...
A. Derviškadić, G. Frigo, M. Paolone
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Hölder norm estimate for a Hilbert transform in Hermitian Clifford analysis [PDF]
, 2012 A Hilbert transform for Holder continuous circulant (2 x 2) matrix functions, on the d-summable (or fractal) boundary I" of a Jordan domain Omega in a"e(2n) , has recently been introduced within the framework of Hermitean Clifford analysis. The main goal
Abreu Blaya, Ricardo +4 more
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Phase demodulation with iterative Hilbert transform embeddings [PDF]
Signal Processing, 2019 We propose an efficient method for demodulation of phase modulated signals via iterated Hilbert transform embeddings. We show that while a usual approach based on one application of the Hilbert transform provides only an approximation to a proper phase ...
Erik Gengel, A. Pikovsky
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A New Fast Approximate Hilbert Transform with Different Applications
International Islamic University Malaysia Engineering Journal, 2012 A new and fast approximate Hilbert transform based on subband decomposition is presented. This new algorithm is called the subband (SB)-Hilbert transform.
Abdulnasir Hossen
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Applying the Hilbert--Huang Decomposition to Horizontal Light Propagation C_n^2 data [PDF]
, 2006 The Hilbert Huang Transform is a new technique for the analysis of non--stationary signals. It comprises two distinct parts: Empirical Mode Decomposition (EMD) and the Hilbert Transform of each of the modes found from the first step to produce a Hilbert ...
Chang, Mark P. J. L. +4 more
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Signal Analysis and Filtering using one Dimensional Hilbert Transform
Journal of Physics: Conference Series, 2020 In the ground of Digital Signal dispensation, the discrete Hilbert Transform has found more and more important. The representation of a signal as the real part of a complex function in time is very much useful in many areas of signal analysis.
V. Dankan Gowda +4 more
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Limited range multilinear extrapolation with applications to the bilinear Hilbert transform [PDF]
Mathematische Annalen, 2017 We prove a limited range, off-diagonal extrapolation theorem that generalizes a number of results in the theory of Rubio de Francia extrapolation, and use this to prove a limited range, multilinear extrapolation theorem.
D. Cruz-Uribe, J. M. Martell
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