Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach by Manuel D. Morales, Javier M. Antelis, Claudia Moreno, Alexander I. Nesterov

“…Here, we adopted a resampling white-box approach to advance towards a statistical understanding of uncertainties intrinsic to CNNs in GW data analysis. We used Morlet wavelets to convert strain time series to time-frequency images. …”
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Lack of authentic atrial fibrillation in commonly used murine atrial fibrillation models. by Fumin Fu, Michael Pietropaolo, Lei Cui, Shilpa Pandit, Weiyan Li, Oleg Tarnavski, Suraj S Shetty, Jing Liu, Jennifer M Lussier, Yutaka Murakami, Prabhjit K Grewal, Galina Deyneko, Gordon M Turner, Andrew K P Taggart, M Gerard Waters, Shaun Coughlin, Yuichiro Adachi

“…While CCh reduced atrial refractoriness and increased atrial tachyarrhythmia vulnerability, the left atrial (LA) excitation patterns were rather regular without reentrant circuits or wavelets. Therefore, the atrial tachyarrhythmia resembled high frequency atrial flutter, not typical AF per se. …”
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Approximate Duals Introduced by Multipliers and Their Role in the Reconstruction of Signals by Morteza Mirzaee Azandaryani, Mehdi Rahimi

“…Approximate duals are useful for wavelets‎, ‎Gabor systems and in sensor modeling‎. ‎…”
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Alterations of theta power and synchrony during encoding in young adult binge drinkers: Subsequent memory effects associated with retrieval after 48 h and 6 months by Siyuan Huang, David R. White, Ksenija Marinkovic, Ksenija Marinkovic

“…Electroencephalography (EEG) signal was recorded during the encoding session and analyzed in time-frequency domain with Morlet wavelets in theta band (4–7 Hz). To evaluate SMEs, the event-related theta oscillations acquired during encoding were analyzed based on recognition outcomes after the two retention intervals.ResultsThe BD and LD groups did not differ on recognition memory. …”
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Atrial fibrillation activation patterns predict freedom from arrhythmias after catheter ablation: utility of ExTRa mapping™ by Daisetsu Aoyama, Shinsuke Miyazaki, Kanae Hasegawa, Ryohei Nomura, Shota Kakehashi, Moe Mukai, Machiko Miyoshi, Junya Yamaguchi, Yusuke Sato, Yuichiro Shiomi, Hiroyuki Ikeda, Kentaro Ishida, Hiroyasu Uzui, Hiroshi Tada

“…The nonpassively activated ratio (%NP) of meandering rotors and multiple wavelets relative to the recording time was evaluated in 26 atrial segments [15 in the left atrium (LA) and 11 in the right atrium]. …”
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Methods of local features extraction in person authentication task by face thermographic image by Nikita I. Belov, Maxim A. Ermak, Evgeny A. Dubinich, Alexander Y. Kuznetsov

“…In this paper, four classical methods of local feature extraction are considered: the method of locally binary templates, Gabor wavelets, scale-invariant feature transformation, and Weber’s local descriptor. …”
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EFFECT OF LEFT ATRIA SIZE ON P-WAVE DISPERSION: A STUDY IN PATIENTS WITH PAROXYSMAL ATRIAL FIBRILLATION by Mehrdad Saravi, Maryam Montazeri, Mohammad Montazeri

“…Experimental and human mapping studies have demonstrated that perpetuation of AF is due to the presence of multiple reentrant wavelets with various sizes in the right and left atria. …”
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Computational Analysis of the Mode of Action of Disopyramide and Quinidine on hERG-Linked Short QT Syndrome in Human Ventricles by Dominic G. Whittaker, Haibo Ni, Alan P. Benson, Alan P. Benson, Jules C. Hancox, Jules C. Hancox, Henggui Zhang, Henggui Zhang, Henggui Zhang

“…In the 3D wedge, disopyramide and quinidine at clinically-relevant concentrations decreased the dominant frequency of re-entrant excitations and exhibited anti-fibrillatory effects; preventing formation of multiple, chaotic wavelets which developed in SQT1, and could terminate arrhythmias. …”
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Winter warmings, tides and planetary waves: comparisions between CMAM (with interactive chemistry) and MFR-MetO observations and data by A. H. Manson, C. Meek, T. Chshyolkova, C. McLandress, S. K. Avery, D. C. Fritts, C. M. Hall, W. K. Hocking, K. Igarashi, J. W. MacDougall, Y. Murayama, C. Riggin, D. Thorsen, R. A. Vincent

“…Time-sequences of temperatures and winds at Tromsø (70° N) show that the model has more frequent and earlier stratospheric winter warmings than typically observed. Wavelets at mesospheric heights (76, 85 km) and from equator to polar regions show that CMAM tides are generally larger, but planetary waves (PW) smaller, than medium frequency (MF) radar-derived values. …”
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Statistical field estimation and scale estimation for complex coastal regions and archipelagos by Agarwal, Arpit

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Transport and seismoelectric properties of porous permeable rock : numerical modeling and laboratory measurements by Zhan, Xin

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Reconstruction of Diffusion Coefficients and Power Exponents from Single Lagrangian Trajectories by Leonid M. Ivanov, Collins A. Collins, Tetyana Margolina

“…Using discrete wavelets, a novel technique is developed to estimate turbulent diffusion coefficients and power exponents from single Lagrangian particle trajectories. …”
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Surface heterogeneity impacts on boundary layer dynamics via energy balance partitioning by N. A. Brunsell, D. B. Mechem, M. C. Anderson

“…The base case uses Landsat ETM imagery over the Cloud Land Surface Interaction Campaign (CLASIC) field site for 3 June 2007. Using wavelets, the surface fields are band-pass filtered in order to maintain the spatial mean and variances to length scales of 200 m, 1600 m, and 12.8 km as lower boundary conditions to the model (approximately 0.25, 1.2 and 9.5 times boundary layer height). …”
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An Improved Lower Bound for Sparse Reconstruction from Subsampled Hadamard Matrices by Jaroslaw Blasiok, Kyle Luh, Patrick Lopatto, Jake Marcinek, Shravas Rao

“…For instance, we can store an image by storing the colour and brightness of every pixel, but typical images have properties such as regions of smoothness that enable us to store them far more economically using other bases, wavelets being a popular choice. One property that can make an object easier to store is if it is _sparse_, meaning that in a suitable basis it can be approximated by a vector of small support. …”
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