Artykuły w czasopismach na temat „Wavelet artefacts”
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Sprawdź 44 najlepszych artykułów w czasopismach naukowych na temat „Wavelet artefacts”.
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Piekarczyk, Marcin, Olaf Bar, Łukasz Bibrzycki, Michał Niedźwiecki, Krzysztof Rzecki, Sławomir Stuglik, Thomas Andersen i in. "CNN-Based Classifier as an Offline Trigger for the CREDO Experiment". Sensors 21, nr 14 (14.07.2021): 4804. http://dx.doi.org/10.3390/s21144804.
Pełny tekst źródłaTurnip, Arjon, i 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.
Pełny tekst źródłaVoskoboinikov, Yu E. "Artefacts of Wavelet Filtration of Images and Their Elimination". Optoelectronics, Instrumentation and Data Processing 56, nr 6 (listopad 2020): 559–65. http://dx.doi.org/10.3103/s8756699020060138.
Pełny tekst źródłaLilly, 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, nr 2200 (kwiecień 2017): 20160776. http://dx.doi.org/10.1098/rspa.2016.0776.
Pełny tekst źródłaSubramanian, Balambigai, Asokan Ramasamy i 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.
Pełny tekst źródłaDOWNIE, T. R. "ACCURATE SIGNAL ESTIMATION NEAR DISCONTINUITIES". International Journal of Wavelets, Multiresolution and Information Processing 02, nr 04 (grudzień 2004): 433–53. http://dx.doi.org/10.1142/s0219691304000627.
Pełny tekst źródłaLei, Zhou, Yan Jiangbao, Zhu Feng, Tan Xiangyu i 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.
Pełny tekst źródłaBurger, Christiaan, i David Jacobus van den Heever. "Removal of EOG artefacts by combining wavelet neural network and independent component analysis". Biomedical Signal Processing and Control 15 (styczeń 2015): 67–79. http://dx.doi.org/10.1016/j.bspc.2014.09.009.
Pełny tekst źródłaRomo Vázquez, R., H. Vélez-Pérez, R. Ranta, V. Louis Dorr, D. Maquin i L. Maillard. "Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling". Biomedical Signal Processing and Control 7, nr 4 (lipiec 2012): 389–400. http://dx.doi.org/10.1016/j.bspc.2011.06.005.
Pełny tekst źródłaConforto, Silvia, Tommaso D'Alessio i Stefano Pignatelli. "Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure". Journal of Electromyography and Kinesiology 9, nr 1 (styczeń 1999): 47–57. http://dx.doi.org/10.1016/s1050-6411(98)00023-6.
Pełny tekst źródłaMorel, Guy-Louis, Philippe Mahul, Marcelle Reche, Jean-Paul Viale, Christian Auboyer, Andre Geyssant, Frederic Roche, Jean-Claude Barthelemy i Vincent Pichot. "Feasibility and Interest of Continuous Diaphragmatic Fatigue Monitoring Using Wavelet Denoising in ICU and Anesthesia". Open Anesthesiology Journal 7, nr 1 (8.11.2013): 37–48. http://dx.doi.org/10.2174/1874321801307010037.
Pełny tekst źródłaKang, Seung-Kwan, Si-Young Yie i Jae-Sung Lee. "Noise2Noise Improved by Trainable Wavelet Coefficients for PET Denoising". Electronics 10, nr 13 (24.06.2021): 1529. http://dx.doi.org/10.3390/electronics10131529.
Pełny tekst źródłaAbbaspour, Hamidreza, Nasser Mehrshad, Seyyed Mohammad Razavi i Luca Mesin. "Artefacts Removal to Detect Visual Evoked Potentials in Brain Computer Interface Systems". Journal of Biomimetics, Biomaterials and Biomedical Engineering 41 (kwiecień 2019): 91–103. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.41.91.
Pełny tekst źródłaPaulchamy, B., i 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, nr 3 (31.03.2012): 9–14. http://dx.doi.org/10.5120/5670-7409.
Pełny tekst źródłaMarasco, D. D., G. Di Lorenzo, A. Petito, M. Altamura, G. Francavilla, L. Inverso i A. Bellomo. "Gamma band dysfunction in patients with schizophrenia during a Sternberg Task: A wavelet analysis". European Psychiatry 33, S1 (marzec 2016): S198. http://dx.doi.org/10.1016/j.eurpsy.2016.01.466.
Pełny tekst źródłaDai, Shuxian, Yujin Zhang, Wanqing Song, Fei Wu i Lijun Zhang. "Rotation Angle Estimation of JPEG Compressed Image by Cyclic Spectrum Analysis". Electronics 8, nr 12 (30.11.2019): 1431. http://dx.doi.org/10.3390/electronics8121431.
Pełny tekst źródłaOliveira, Rui Jorge, Bento Caldeira, Teresa Teixidó i José Fernando Borges. "GPR Clutter Reflection Noise-Filtering through Singular Value Decomposition in the Bidimensional Spectral Domain". Remote Sensing 13, nr 10 (20.05.2021): 2005. http://dx.doi.org/10.3390/rs13102005.
Pełny tekst źródłaVukotić, Vedran, Vivien Chappelier i Teddy Furon. "Are Classification Deep Neural Networks Good for Blind Image Watermarking?" Entropy 22, nr 2 (8.02.2020): 198. http://dx.doi.org/10.3390/e22020198.
Pełny tekst źródłaZavoyskih, М., A. Korobeynikov, A. Menlitdinov, V. Lyuminarskiy i Yu Kuzelin. "The electrocardiogram signal morphology analysis based on convolutional neural network". Information Technology and Nanotechnology, nr 2416 (2019): 34–42. http://dx.doi.org/10.18287/1613-0073-2019-2416-34-42.
Pełny tekst źródłaYadav, Nirmal. "Retinal blood vessels detection for diabetic retinopathy with Ridgelet transform and convolution neural network". International Journal of Wavelets, Multiresolution and Information Processing 18, nr 06 (11.09.2020): 2050048. http://dx.doi.org/10.1142/s0219691320500484.
Pełny tekst źródłaJosé, Marco V., i 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, nr 1438 (29.10.2003): 1625–41. http://dx.doi.org/10.1098/rstb.2003.1291.
Pełny tekst źródłaWalinjkar, Amit. "A Composite and Wearable Sensor Kit for Location-Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction". Applied System Innovation 1, nr 3 (12.09.2018): 35. http://dx.doi.org/10.3390/asi1030035.
Pełny tekst źródłaAllian, Farhad, i Rekha Jain. "The need for new techniques to identify the high-frequency MHD waves of an oscillating coronal loop". Astronomy & Astrophysics 650 (czerwiec 2021): A91. http://dx.doi.org/10.1051/0004-6361/202039763.
Pełny tekst źródłaMaraun, D., i J. Kurths. "Cross wavelet analysis: significance testing and pitfalls". Nonlinear Processes in Geophysics 11, nr 4 (11.11.2004): 505–14. http://dx.doi.org/10.5194/npg-11-505-2004.
Pełny tekst źródłaNagai, Shuto, Daisuke Anzai i Jianqing Wang. "Motion artefact removals for wearable ECG using stationary wavelet transform". Healthcare Technology Letters 4, nr 4 (14.06.2017): 138–41. http://dx.doi.org/10.1049/htl.2016.0100.
Pełny tekst źródłaAn, Xiang, i George K. Stylios. "Comparison of Motion Artefact Reduction Methods and the Implementation of Adaptive Motion Artefact Reduction in Wearable Electrocardiogram Monitoring". Sensors 20, nr 5 (7.03.2020): 1468. http://dx.doi.org/10.3390/s20051468.
Pełny tekst źródłaP, Vijaya, i Binu D. "Introduction to the Special Issue on Intelligence on Scalable computing for Recent Applications". Scalable Computing: Practice and Experience 21, nr 2 (27.06.2020): 157–58. http://dx.doi.org/10.12694/scpe.v21i2.1581.
Pełny tekst źródłaChrapka, Philip, Hubert de Bruin, Gary Hasey i Jim Reilly. "Wavelet-Based Muscle Artefact Noise Reduction for Short Latency rTMS Evoked Potentials". IEEE Transactions on Neural Systems and Rehabilitation Engineering 27, nr 7 (lipiec 2019): 1449–57. http://dx.doi.org/10.1109/tnsre.2019.2908951.
Pełny tekst źródłaPerpetuini, David, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli i Arcangelo Merla. "A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking". Sensors 21, nr 15 (28.07.2021): 5117. http://dx.doi.org/10.3390/s21155117.
Pełny tekst źródłaGomez, Christopher, Kyoko Kataoka, Aditya Saputra, Patrick Wassmer, Atsushi Urabe, Justin Morgenroth i 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, nr 1 (1.07.2017): 16–27. http://dx.doi.org/10.23917/forgeo.v31i1.3977.
Pełny tekst źródłaFoo, Jong Yong A. "Comparison of wavelet transformation and adaptive filtering in restoring artefact-induced time-related measurement". Biomedical Signal Processing and Control 1, nr 1 (styczeń 2006): 93–98. http://dx.doi.org/10.1016/j.bspc.2006.01.001.
Pełny tekst źródłaAstuti, Baiq Siska Febriani, Santi Wulan Purnami, R. Mohamad Atok, Wardah Rahmatul Islamiyah, Diah Puspito Wulandari i 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, nr 2 (marzec 2021): 170–75. http://dx.doi.org/10.18178/ijmlc.2021.11.2.1031.
Pełny tekst źródłaPrema, P., T. Kesavamurthy i 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, nr 3 (2019): 263. http://dx.doi.org/10.1504/ijbet.2019.100696.
Pełny tekst źródłaRamadoss, K., T. Kesavamurthy i 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, nr 3 (2019): 263. http://dx.doi.org/10.1504/ijbet.2019.10022268.
Pełny tekst źródłaPeters, C. H. L., R. Vullings, M. J. Rooijakkers, J. W. M. Bergmans, S. G. Oei i P. F. F. Wijn. "A continuous wavelet transform-based method for time-frequency analysis of artefact-corrected heart rate variability data". Physiological Measurement 32, nr 10 (18.08.2011): 1517–27. http://dx.doi.org/10.1088/0967-3334/32/10/001.
Pełny tekst źródłaFeng, Lichen, Zunchao Li i 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, nr 4 (22.05.2020): 547–54. http://dx.doi.org/10.1049/iet-cds.2019.0491.
Pełny tekst źródłaSai, Chong Yeh, Norrima Mokhtar, Masahiro Iwahashi, Paul Cumming i 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, nr 8 (12.06.2021): 535–42. http://dx.doi.org/10.1049/sil2.12058.
Pełny tekst źródłaGómez, Kevin Alejandro Hernández, Julian D. Echeverry-Correa i Álvaro Ángel Orozco Gutiérrez. "Automatic Pectoral Muscle Removal and Microcalcification Localization in Digital Mammograms". Healthcare Informatics Research 27, nr 3 (31.07.2021): 222–30. http://dx.doi.org/10.4258/hir.2021.27.3.222.
Pełny tekst źródłaRoberts, M. B., S. A. Parfitt, M. I. Pope, F. F. Wenban-Smith, R. I. Macphail, A. Locker i 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.
Pełny tekst źródła"Artefact Removal from EEG Signals using Total Variation De-noising". International Journal of Innovative Technology and Exploring Engineering 9, nr 5 (10.03.2020): 2357–61. http://dx.doi.org/10.35940/ijitee.e2703.039520.
Pełny tekst źródłaMarsh, Richard J., Ishan Costello, Mark-Alexander Gorey, Donghan Ma, Fang Huang, Mathias Gautel, Maddy Parsons i Susan Cox. "Sub-diffraction error mapping for localisation microscopy images". Nature Communications 12, nr 1 (23.09.2021). http://dx.doi.org/10.1038/s41467-021-25812-z.
Pełny tekst źródłaZhou, Bo, Adam J. Ruggles, Erxiong Huang i Jonathan H. Frank. "Wavelet-based algorithm for correction of beam-steering artefacts in turbulent flow imaging at elevated pressures". Experiments in Fluids 60, nr 8 (29.07.2019). http://dx.doi.org/10.1007/s00348-019-2782-6.
Pełny tekst źródłaDu, Xiuli, Jinting Liu, Wei Zhang i Ya'na Lv. "Blocking artefacts reduction based on a ripple matrix permutation image of high‐frequency images in the wavelet domain". IET Image Processing, 20.04.2021. http://dx.doi.org/10.1049/ipr2.12217.
Pełny tekst źródłaRosario Quirino Iannone, Stefano Casadio i Bojan Bojkov. "A new method for the validation of the GOMOS high resolution temperature profiles products". Annals of Geophysics 57, nr 5 (14.10.2014). http://dx.doi.org/10.4401/ag-6487.
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