Results 21 to 30 of about 10,906 (262)
Wavelet Transforms and Machine Learning Methods for the Study of Turbulence
Fluids, 2023 This article investigates the applications of wavelet transforms and machine learning methods in studying turbulent flows. The wavelet-based hierarchical eddy-capturing framework is built upon first principle physical models.
Jahrul M Alam
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The Monogenic Wavelet Transform [PDF]
IEEE Transactions on Signal Processing, 2009 This paper extends the 1-D analytic wavelet transform to the 2-D monogenic wavelet transform. The transformation requires care in its specification to ensure suitable transform coefficients are calculated, and it is constructed so that the wavelet transform may be considered as both local and monogenic. This is consistent with defining the transform as
Sofia C. Olhede, Georgios Metikas
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On the Analytic Wavelet Transform [PDF]
IEEE Transactions on Information Theory, 2010 An exact and general expression for the analytic wavelet transform of a real-valued signal is constructed, resolving the time-dependent effects of non-negligible amplitude and frequency modulation. The analytic signal is first locally represented as a modulated oscillation, demodulated by its own instantaneous frequency, and then Taylor-expanded at ...
Jonathan M. Lilly, Sofia C. Olhede
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Wavelets on the Interval and Fast Wavelet Transforms
Applied and Computational Harmonic Analysis, 1993 The paper contains a detailed analysis of several constructions of orthonormal bases of wavelets on a finite interval. A new construction is suggested which avoids some of the disadvantages of earlier constructions.
Cohen, Albert +2 more
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Two Versions of Dunkl Linear Canonical Wavelet Transforms and Applications
MathematicsAmong the class of generalized Fourier transformations, the linear canonical transform is of crucial importance, mainly due to its higher degrees of freedom compared to the conventional Fourier and fractional Fourier transforms.
Saifallah Ghobber, Hatem Mejjaoli
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Advances in Civil Engineering, 2012 Guided wave technique is an efficient method for monitoring structural integrity by detecting and forecasting possible damages in distributed pipe networks.
Rais Ahmad, Tribikram Kundu
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IEEE Transactions on Signal Processing, 2013 Some recent methods, like the Empirical Mode Decomposition (EMD), propose to decompose a signal accordingly to its contained information. Even though its adaptability seems useful for many applications, the main issue with this approach is its lack of theory. This paper presents a new approach to build adaptive wavelets. The main idea is to extract the
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IET Image Processing, 2018 The gyrator transform is a linear canonical transform, which generates the rotation of an optical signal in position‐spatial frequency planes. Gyrator wavelet transform is a relatively newer optical information processing tool obtained by combining the gyrator transform with the wavelet transform.
Isha Mehra +2 more
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Characterizations of Continuous Fractional Bessel Wavelet Transforms
Mathematics, 2022 In this paper, we present a systematic study of the various characteristics and properties of some continuous and discrete fractional Bessel wavelet transforms. The method is based upon the theory of the fractional Hankel transform.
Hari M. Srivastava +2 more
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
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