Improved Reconstruction of MR Scanned Images by Using a Dictionary Learning Scheme by Shahid Ikram, Jawad Ali Shah, Syed Zubair, Ijaz Mansoor Qureshi, Muhammad Bilal

“…The quality of CS reconstruction methods largely depends on the use of various sparsifying transforms, such as wavelets, curvelets or total variation (TV), to recover MR images. …”
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Delayed afterdepolarization‐induced triggered activity in cardiac purkinje cells mediated through cytosolic calcium diffusion waves by Chirag Shah, Sohel Jiwani, Bijay Limbu, Seth Weinberg, Makarand Deo

“…Simulations predict that during an action potential, smaller cytosolic calcium wavelets propagated from the sarcolemma towards the center of the cell and initiated larger magnitude cell‐wide calcium waves via a calcium‐induced‐calcium release mechanism. …”
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471 Using Computer Vision and Wearable Devices to Improve Care of Parkinson’s Disease by Jacob Simmering, Nandakumar Narayanan, Philip Polgreen

“…Further processing of the signals from the video, including wavelets and frequency domain analysis, may provide better predictive capabilities. …”
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Vibration signal processing for spall size estimation in rolling element bearings using autoregressive inverse filtration combined with bearing signal synchronous averaging by Nader Sawalhi, Wenyi Wang, Andrew Becker

“…This provides the best accuracy in estimating the size of the spall, and unlike other existing algorithms, there exist no need for further processing using wavelets for instance.…”
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Comparing Features for Classification of MEG Responses to Motor Imagery. by Hanna-Leena Halme, Lauri Parkkonen

“…The evaluated MI-related features were power spectral density (PSD), Morlet wavelets, short-time Fourier transform (STFT), common spatial patterns (CSP), filter-bank common spatial patterns (FBCSP), spatio-spectral decomposition (SSD), and combined SSD+CSP, CSP+PSD, CSP+Morlet, and CSP+STFT. …”
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Seismic Lithofacies Distribution Modeling Using the Single Normal Equation Simulation (SNESIM) Algorithm of Multiple-Point Geostatistics in Upper Assam Basin, India by Nagendra Babu Mahadasu, Venkatesh Ambati, Rajesh R. Nair

“…The first is simultaneous prestack inversion for inverting prestack gathers with angle-dependent wavelets into seismic attributes. A cross-plot of P-impedance and VP/VS ratio from well-log data was used to classify the different reservoir lithofacies such as hydrocarbon sand, brine sand, and shale. …”
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Criterios para el inicio de la convección y la formación de estructuras coherentes sobre Camagüey, Cuba Criteria for the onset of convection and the formation of coherent structure... by Nivian Quintana Rodríguez, Maibys Sierra Lorenzo, Mario Carnesoltas Calvo

“…The obtained results are compared to those based on the Wavelets Technique and cloudiness derived from meteorological satellite images. …”
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Event-related theta power during lexical-semantic retrieval and decision conflict is modulated by alcohol intoxication: anatomically-constrained MEG by Ksenija eMarinkovic, Burke Quartman Rosen, Brendan eCox, Sanja eKovacevic

“…High density whole head MEG signals and midline scalp EEG data were decomposed for each trial with Morlet wavelets. Each person’s reconstructed cortical surface was used to constrain noise-normalized distributed minimum norm inverse solutions for theta frequencies. …”
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A Sparsity Detection Framework for On–Off Random Access Channels by Fletcher, Alyson K., Rangan, Sundeep, Goyal, Vivek K.

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The temporal and bilateral structure of hippocampal replay by Layton, Stuart Pope

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Atrial fibrillation dynamics and ionic block effects in six heterogeneous human 3D virtual atria with distinct repolarization dynamics by Sánchez, C, Bueno Orovio, A, Pueyo, E, Rodriguez, B

“…Specific inhibitions of IK1, INaK or INa reduce DF and organization of the arrhythmia by enlarging wave meandering, reducing the number of secondary wavelets and promoting inter-atrial block in all six virtual patients, especially for the phenotypes with short APD at 20, 50 and/or 90% repolarization. …”

Using non-linear vibration techniques to detect damage in concrete bridges by Neild, S

“…Several time-frequency distribution estimation tools are discussed including the discrete Fourier Transform moving window, the auto-regressive model moving window, harmonic wavelets and examples of the Cohen class of bilinear time-frequency distributions. …”

Atrial Fibrillation Mechanisms and Implications for Catheter Ablation by Ghassen Cheniti, Ghassen Cheniti, Ghassen Cheniti, Konstantinos Vlachos, Konstantinos Vlachos, Thomas Pambrun, Thomas Pambrun, Darren Hooks, Antonio Frontera, Antonio Frontera, Masateru Takigawa, Masateru Takigawa, Felix Bourier, Felix Bourier, Takeshi Kitamura, Takeshi Kitamura, Anna Lam, Anna Lam, Claire Martin, Claire Martin, Carole Dumas-Pommier, Stephane Puyo, Xavier Pillois, Josselin Duchateau, Josselin Duchateau, Nicolas Klotz, Nicolas Klotz, Arnaud Denis, Arnaud Denis, Nicolas Derval, Nicolas Derval, Pierre Jais, Pierre Jais, Hubert Cochet, Hubert Cochet, Meleze Hocini, Meleze Hocini, Michel Haissaguerre, Michel Haissaguerre, Frederic Sacher, Frederic Sacher

“…Many theories were advanced to explain the perpetuation of this form of AF, ranging from a single localized focal and reentrant source to diffuse bi-atrial multiple wavelets. Translating these mechanisms to the clinical practice remains challenging and limited by the spatio-temporal resolution of the mapping techniques. …”
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Towards a Real-Time Oil Palm Fruit Maturity System Using Supervised Classifiers Based on Feature Analysis by Meftah Salem M. Alfatni, Siti Khairunniza-Bejo, Mohammad Hamiruce B. Marhaban, Osama M. Ben Saaed, Aouache Mustapha, Abdul Rashid Mohamed Shariff

“…This paper describes the design and implementation of a real-time fresh fruit bunch (FFB) maturity classification system for palm oil based on unrestricted remote sensing (CCD camera sensor) and image processing techniques using five multivariate techniques (statistics, histograms, Gabor wavelets, GLCM and BGLAM) to extract fruit image characteristics and incorporate information on palm oil species classification FFB and maturity testing. …”
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Laser Welding Quality Monitoring via Graph Support Vector Machine With Data Adaptive Kernel by Sergey A. Shevchik, Tri Le-Quang, Farzad Vakili Farahani, Neige Faivre, Bastian Meylan, Silvio Zanoli, Kilian Wasmer

“…The signals from the laser back reflection and optical and acoustic emissions were recorded during the laser welding process and were decomposed with the $M$ -band wavelets. The relative energies of narrow frequency bands were taken as descriptive features. …”
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Intelligent Data Analysis for Biomedical Applications : Challenges and Solutions / by Hemanth, D. Jude, editor 648576, Gupta, Deepak, editor 636375, Balas, Valentina Emilia, editor 635809, ScienceDirect (Online service) 7722

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Comparison of ring 1 parameters in 37-segment multifocal electroretinography between onset and offset conditions of ring 2 to 4 in normal subjects by Jun Ho Yoo, Cheolmin Yun, Jaeryung Oh, Seong-Woo Kim

“…The positive wave is more enhanced compared to that of the conventional protocol and it elongated into two wavelets.…”
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Quantifying the spatial dimension of dengue virus epidemic spread within a tropical urban environment. by Gonzalo M Vazquez-Prokopec, Uriel Kitron, Brian Montgomery, Peter Horne, Scott A Ritchie

“…Spatial (local k-function, angular wavelets) and space-time (Knox test) analyses quantified the intensity and directionality of clustering of dengue cases, whereas a semi-parametric Bayesian space-time regression assessed the impact of IRS and spatial autocorrelation in the odds of weekly dengue infection. …”
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Calcium-Dependent Ion Channels and the Regulation of Arteriolar Myogenic Tone by William F. Jackson

“…Endothelial IP3Rs produce Ca2+ pulsars, Ca2+ wavelets, Ca2+ waves and increased global Ca2+ levels activating EC sKCa and IKCa channels and causing Ca2+-dependent production of endothelial vasodilator autacoids such as NO, prostaglandin I2 and epoxides of arachidonic acid that mediate negative-feedback regulation of myogenic tone. …”
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ClinoformNet-1.0: stratigraphic forward modeling and deep learning for seismic clinoform delineation by H. Gao, X. Wu, J. Zhang, X. Sun, Z. Bi

“…We further simulate synthetic seismic data by convolving reflectivity models (converted from impedance models) with Ricker wavelets (with various peak frequencies) and adding real noise extracted from field seismic data. …”
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