Articoli di riviste sul tema "Wavelet artefacts"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-44 articoli di riviste per l'attività di ricerca sul tema "Wavelet artefacts".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi gli articoli di riviste di molte aree scientifiche e compila una bibliografia corretta.
Piekarczyk, Marcin, Olaf Bar, Łukasz Bibrzycki, Michał Niedźwiecki, Krzysztof Rzecki, Sławomir Stuglik, Thomas Andersen et al. "CNN-Based Classifier as an Offline Trigger for the CREDO Experiment". Sensors 21, n. 14 (14 luglio 2021): 4804. http://dx.doi.org/10.3390/s21144804.
Testo completoTurnip, Arjon, e Jasman Pardede. "Artefacts Removal of EEG Signals with Wavelet Denoising". MATEC Web of Conferences 135 (2017): 00058. http://dx.doi.org/10.1051/matecconf/201713500058.
Testo completoVoskoboinikov, Yu E. "Artefacts of Wavelet Filtration of Images and Their Elimination". Optoelectronics, Instrumentation and Data Processing 56, n. 6 (novembre 2020): 559–65. http://dx.doi.org/10.3103/s8756699020060138.
Testo completoLilly, Jonathan M. "Element analysis: a wavelet-based method for analysing time-localized events in noisy time series". Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, n. 2200 (aprile 2017): 20160776. http://dx.doi.org/10.1098/rspa.2016.0776.
Testo completoSubramanian, Balambigai, Asokan Ramasamy e Kamalakannan Rangasamy. "Performance Comparison of Wavelet and Multiwavelet Denoising Methods for an Electrocardiogram Signal". Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/241540.
Testo completoDOWNIE, T. R. "ACCURATE SIGNAL ESTIMATION NEAR DISCONTINUITIES". International Journal of Wavelets, Multiresolution and Information Processing 02, n. 04 (dicembre 2004): 433–53. http://dx.doi.org/10.1142/s0219691304000627.
Testo completoLei, Zhou, Yan Jiangbao, Zhu Feng, Tan Xiangyu e Zhang Lifeng. "Reconstruction Method of Electrical Capacitance Tomography Based on Wavelet Fusion". MATEC Web of Conferences 176 (2018): 01031. http://dx.doi.org/10.1051/matecconf/201817601031.
Testo completoBurger, Christiaan, e David Jacobus van den Heever. "Removal of EOG artefacts by combining wavelet neural network and independent component analysis". Biomedical Signal Processing and Control 15 (gennaio 2015): 67–79. http://dx.doi.org/10.1016/j.bspc.2014.09.009.
Testo completoRomo Vázquez, R., H. Vélez-Pérez, R. Ranta, V. Louis Dorr, D. Maquin e L. Maillard. "Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling". Biomedical Signal Processing and Control 7, n. 4 (luglio 2012): 389–400. http://dx.doi.org/10.1016/j.bspc.2011.06.005.
Testo completoConforto, Silvia, Tommaso D'Alessio e Stefano Pignatelli. "Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure". Journal of Electromyography and Kinesiology 9, n. 1 (gennaio 1999): 47–57. http://dx.doi.org/10.1016/s1050-6411(98)00023-6.
Testo completoMorel, Guy-Louis, Philippe Mahul, Marcelle Reche, Jean-Paul Viale, Christian Auboyer, Andre Geyssant, Frederic Roche, Jean-Claude Barthelemy e Vincent Pichot. "Feasibility and Interest of Continuous Diaphragmatic Fatigue Monitoring Using Wavelet Denoising in ICU and Anesthesia". Open Anesthesiology Journal 7, n. 1 (8 novembre 2013): 37–48. http://dx.doi.org/10.2174/1874321801307010037.
Testo completoKang, Seung-Kwan, Si-Young Yie e Jae-Sung Lee. "Noise2Noise Improved by Trainable Wavelet Coefficients for PET Denoising". Electronics 10, n. 13 (24 giugno 2021): 1529. http://dx.doi.org/10.3390/electronics10131529.
Testo completoAbbaspour, Hamidreza, Nasser Mehrshad, Seyyed Mohammad Razavi e Luca Mesin. "Artefacts Removal to Detect Visual Evoked Potentials in Brain Computer Interface Systems". Journal of Biomimetics, Biomaterials and Biomedical Engineering 41 (aprile 2019): 91–103. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.41.91.
Testo completoPaulchamy, B., e Ila Vennila. "A Certain Exploration on EEG Signal for the Removal of Artefacts using Power Spectral Density Analysis through Haar wavelet Transform". International Journal of Computer Applications 42, n. 3 (31 marzo 2012): 9–14. http://dx.doi.org/10.5120/5670-7409.
Testo completoMarasco, D. D., G. Di Lorenzo, A. Petito, M. Altamura, G. Francavilla, L. Inverso e A. Bellomo. "Gamma band dysfunction in patients with schizophrenia during a Sternberg Task: A wavelet analysis". European Psychiatry 33, S1 (marzo 2016): S198. http://dx.doi.org/10.1016/j.eurpsy.2016.01.466.
Testo completoDai, Shuxian, Yujin Zhang, Wanqing Song, Fei Wu e Lijun Zhang. "Rotation Angle Estimation of JPEG Compressed Image by Cyclic Spectrum Analysis". Electronics 8, n. 12 (30 novembre 2019): 1431. http://dx.doi.org/10.3390/electronics8121431.
Testo completoOliveira, Rui Jorge, Bento Caldeira, Teresa Teixidó e José Fernando Borges. "GPR Clutter Reflection Noise-Filtering through Singular Value Decomposition in the Bidimensional Spectral Domain". Remote Sensing 13, n. 10 (20 maggio 2021): 2005. http://dx.doi.org/10.3390/rs13102005.
Testo completoVukotić, Vedran, Vivien Chappelier e Teddy Furon. "Are Classification Deep Neural Networks Good for Blind Image Watermarking?" Entropy 22, n. 2 (8 febbraio 2020): 198. http://dx.doi.org/10.3390/e22020198.
Testo completoZavoyskih, М., A. Korobeynikov, A. Menlitdinov, V. Lyuminarskiy e Yu Kuzelin. "The electrocardiogram signal morphology analysis based on convolutional neural network". Information Technology and Nanotechnology, n. 2416 (2019): 34–42. http://dx.doi.org/10.18287/1613-0073-2019-2416-34-42.
Testo completoYadav, Nirmal. "Retinal blood vessels detection for diabetic retinopathy with Ridgelet transform and convolution neural network". International Journal of Wavelets, Multiresolution and Information Processing 18, n. 06 (11 settembre 2020): 2050048. http://dx.doi.org/10.1142/s0219691320500484.
Testo completoJosé, Marco V., e Ruth F. Bishop. "Scaling properties and symmetrical patterns in the epidemiology of rotavirus infection". Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 358, n. 1438 (29 ottobre 2003): 1625–41. http://dx.doi.org/10.1098/rstb.2003.1291.
Testo completoWalinjkar, Amit. "A Composite and Wearable Sensor Kit for Location-Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction". Applied System Innovation 1, n. 3 (12 settembre 2018): 35. http://dx.doi.org/10.3390/asi1030035.
Testo completoAllian, Farhad, e Rekha Jain. "The need for new techniques to identify the high-frequency MHD waves of an oscillating coronal loop". Astronomy & Astrophysics 650 (giugno 2021): A91. http://dx.doi.org/10.1051/0004-6361/202039763.
Testo completoMaraun, D., e J. Kurths. "Cross wavelet analysis: significance testing and pitfalls". Nonlinear Processes in Geophysics 11, n. 4 (11 novembre 2004): 505–14. http://dx.doi.org/10.5194/npg-11-505-2004.
Testo completoNagai, Shuto, Daisuke Anzai e Jianqing Wang. "Motion artefact removals for wearable ECG using stationary wavelet transform". Healthcare Technology Letters 4, n. 4 (14 giugno 2017): 138–41. http://dx.doi.org/10.1049/htl.2016.0100.
Testo completoAn, Xiang, e George K. Stylios. "Comparison of Motion Artefact Reduction Methods and the Implementation of Adaptive Motion Artefact Reduction in Wearable Electrocardiogram Monitoring". Sensors 20, n. 5 (7 marzo 2020): 1468. http://dx.doi.org/10.3390/s20051468.
Testo completoP, Vijaya, e Binu D. "Introduction to the Special Issue on Intelligence on Scalable computing for Recent Applications". Scalable Computing: Practice and Experience 21, n. 2 (27 giugno 2020): 157–58. http://dx.doi.org/10.12694/scpe.v21i2.1581.
Testo completoChrapka, Philip, Hubert de Bruin, Gary Hasey e Jim Reilly. "Wavelet-Based Muscle Artefact Noise Reduction for Short Latency rTMS Evoked Potentials". IEEE Transactions on Neural Systems and Rehabilitation Engineering 27, n. 7 (luglio 2019): 1449–57. http://dx.doi.org/10.1109/tnsre.2019.2908951.
Testo completoPerpetuini, David, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli e Arcangelo Merla. "A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking". Sensors 21, n. 15 (28 luglio 2021): 5117. http://dx.doi.org/10.3390/s21155117.
Testo completoGomez, Christopher, Kyoko Kataoka, Aditya Saputra, Patrick Wassmer, Atsushi Urabe, Justin Morgenroth e Akira Kato. "Photogrammetry-based Texture Analysis of a Volcaniclastic Outcrop-peel: Low-cost Alternative to TLS and Automation Potentialities using Haar Wavelet and Spatial-Analysis Algorithms". Forum Geografi 31, n. 1 (1 luglio 2017): 16–27. http://dx.doi.org/10.23917/forgeo.v31i1.3977.
Testo completoFoo, Jong Yong A. "Comparison of wavelet transformation and adaptive filtering in restoring artefact-induced time-related measurement". Biomedical Signal Processing and Control 1, n. 1 (gennaio 2006): 93–98. http://dx.doi.org/10.1016/j.bspc.2006.01.001.
Testo completoAstuti, Baiq Siska Febriani, Santi Wulan Purnami, R. Mohamad Atok, Wardah Rahmatul Islamiyah, Diah Puspito Wulandari e Anda Iviana Juniani. "Classify Epileptic EEG Signals Using Extreme Support Vector Machine for Ictal and Muscle Artifact Detection". International Journal of Machine Learning and Computing 11, n. 2 (marzo 2021): 170–75. http://dx.doi.org/10.18178/ijmlc.2021.11.2.1031.
Testo completoPrema, P., T. Kesavamurthy e K. Ramadoss. "Performance analysis of wavelet basis function in de-trending and ocular artefact removal from electroencephalogram". International Journal of Biomedical Engineering and Technology 30, n. 3 (2019): 263. http://dx.doi.org/10.1504/ijbet.2019.100696.
Testo completoRamadoss, K., T. Kesavamurthy e P. Prema. "Performance analysis of wavelet basis function in de-trending and ocular artefact removal from electroencephalogram". International Journal of Biomedical Engineering and Technology 30, n. 3 (2019): 263. http://dx.doi.org/10.1504/ijbet.2019.10022268.
Testo completoPeters, C. H. L., R. Vullings, M. J. Rooijakkers, J. W. M. Bergmans, S. G. Oei e P. F. F. Wijn. "A continuous wavelet transform-based method for time-frequency analysis of artefact-corrected heart rate variability data". Physiological Measurement 32, n. 10 (18 agosto 2011): 1517–27. http://dx.doi.org/10.1088/0967-3334/32/10/001.
Testo completoFeng, Lichen, Zunchao Li e Jian Zhang. "Fast automated on‐chip artefact removal of EEG for seizure detection based on ICA‐R algorithm and wavelet denoising". IET Circuits, Devices & Systems 14, n. 4 (22 maggio 2020): 547–54. http://dx.doi.org/10.1049/iet-cds.2019.0491.
Testo completoSai, Chong Yeh, Norrima Mokhtar, Masahiro Iwahashi, Paul Cumming e Hamzah Arof. "Fully automated unsupervised artefact removal in multichannel electroencephalogram using wavelet‐independent component analysis with density‐based spatial clustering of application with noise". IET Signal Processing 15, n. 8 (12 giugno 2021): 535–42. http://dx.doi.org/10.1049/sil2.12058.
Testo completoGómez, Kevin Alejandro Hernández, Julian D. Echeverry-Correa e Álvaro Ángel Orozco Gutiérrez. "Automatic Pectoral Muscle Removal and Microcalcification Localization in Digital Mammograms". Healthcare Informatics Research 27, n. 3 (31 luglio 2021): 222–30. http://dx.doi.org/10.4258/hir.2021.27.3.222.
Testo completoRoberts, M. B., S. A. Parfitt, M. I. Pope, F. F. Wenban-Smith, R. I. Macphail, A. Locker e J. R. Stewart. "Boxgrove, West Sussex: Rescue Excavations of a Lower Palaeolithic Landsurface (Boxgrove Project B, 1989–91)". Proceedings of the Prehistoric Society 63 (1997): 303–58. http://dx.doi.org/10.1017/s0079497x00002474.
Testo completo"Artefact Removal from EEG Signals using Total Variation De-noising". International Journal of Innovative Technology and Exploring Engineering 9, n. 5 (10 marzo 2020): 2357–61. http://dx.doi.org/10.35940/ijitee.e2703.039520.
Testo completoMarsh, Richard J., Ishan Costello, Mark-Alexander Gorey, Donghan Ma, Fang Huang, Mathias Gautel, Maddy Parsons e Susan Cox. "Sub-diffraction error mapping for localisation microscopy images". Nature Communications 12, n. 1 (23 settembre 2021). http://dx.doi.org/10.1038/s41467-021-25812-z.
Testo completoZhou, Bo, Adam J. Ruggles, Erxiong Huang e Jonathan H. Frank. "Wavelet-based algorithm for correction of beam-steering artefacts in turbulent flow imaging at elevated pressures". Experiments in Fluids 60, n. 8 (29 luglio 2019). http://dx.doi.org/10.1007/s00348-019-2782-6.
Testo completoDu, Xiuli, Jinting Liu, Wei Zhang e Ya'na Lv. "Blocking artefacts reduction based on a ripple matrix permutation image of high‐frequency images in the wavelet domain". IET Image Processing, 20 aprile 2021. http://dx.doi.org/10.1049/ipr2.12217.
Testo completoRosario Quirino Iannone, Stefano Casadio e Bojan Bojkov. "A new method for the validation of the GOMOS high resolution temperature profiles products". Annals of Geophysics 57, n. 5 (14 ottobre 2014). http://dx.doi.org/10.4401/ag-6487.
Testo completo