Journal articles on the topic 'Wavelet artefacts'
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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, no. 14 (July 14, 2021): 4804. http://dx.doi.org/10.3390/s21144804.
Full textTurnip, Arjon, and 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.
Full textVoskoboinikov, Yu E. "Artefacts of Wavelet Filtration of Images and Their Elimination." Optoelectronics, Instrumentation and Data Processing 56, no. 6 (November 2020): 559–65. http://dx.doi.org/10.3103/s8756699020060138.
Full textLilly, 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, no. 2200 (April 2017): 20160776. http://dx.doi.org/10.1098/rspa.2016.0776.
Full textSubramanian, Balambigai, Asokan Ramasamy, and 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.
Full textDOWNIE, T. R. "ACCURATE SIGNAL ESTIMATION NEAR DISCONTINUITIES." International Journal of Wavelets, Multiresolution and Information Processing 02, no. 04 (December 2004): 433–53. http://dx.doi.org/10.1142/s0219691304000627.
Full textLei, Zhou, Yan Jiangbao, Zhu Feng, Tan Xiangyu, and 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.
Full textBurger, Christiaan, and David Jacobus van den Heever. "Removal of EOG artefacts by combining wavelet neural network and independent component analysis." Biomedical Signal Processing and Control 15 (January 2015): 67–79. http://dx.doi.org/10.1016/j.bspc.2014.09.009.
Full textRomo Vázquez, R., H. Vélez-Pérez, R. Ranta, V. Louis Dorr, D. Maquin, and L. Maillard. "Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling." Biomedical Signal Processing and Control 7, no. 4 (July 2012): 389–400. http://dx.doi.org/10.1016/j.bspc.2011.06.005.
Full textConforto, Silvia, Tommaso D'Alessio, and Stefano Pignatelli. "Optimal rejection of movement artefacts from myoelectric signals by means of a wavelet filtering procedure." Journal of Electromyography and Kinesiology 9, no. 1 (January 1999): 47–57. http://dx.doi.org/10.1016/s1050-6411(98)00023-6.
Full textMorel, Guy-Louis, Philippe Mahul, Marcelle Reche, Jean-Paul Viale, Christian Auboyer, Andre Geyssant, Frederic Roche, Jean-Claude Barthelemy, and Vincent Pichot. "Feasibility and Interest of Continuous Diaphragmatic Fatigue Monitoring Using Wavelet Denoising in ICU and Anesthesia." Open Anesthesiology Journal 7, no. 1 (November 8, 2013): 37–48. http://dx.doi.org/10.2174/1874321801307010037.
Full textKang, Seung-Kwan, Si-Young Yie, and Jae-Sung Lee. "Noise2Noise Improved by Trainable Wavelet Coefficients for PET Denoising." Electronics 10, no. 13 (June 24, 2021): 1529. http://dx.doi.org/10.3390/electronics10131529.
Full textAbbaspour, Hamidreza, Nasser Mehrshad, Seyyed Mohammad Razavi, and Luca Mesin. "Artefacts Removal to Detect Visual Evoked Potentials in Brain Computer Interface Systems." Journal of Biomimetics, Biomaterials and Biomedical Engineering 41 (April 2019): 91–103. http://dx.doi.org/10.4028/www.scientific.net/jbbbe.41.91.
Full textPaulchamy, B., and 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, no. 3 (March 31, 2012): 9–14. http://dx.doi.org/10.5120/5670-7409.
Full textMarasco, D. D., G. Di Lorenzo, A. Petito, M. Altamura, G. Francavilla, L. Inverso, and A. Bellomo. "Gamma band dysfunction in patients with schizophrenia during a Sternberg Task: A wavelet analysis." European Psychiatry 33, S1 (March 2016): S198. http://dx.doi.org/10.1016/j.eurpsy.2016.01.466.
Full textDai, Shuxian, Yujin Zhang, Wanqing Song, Fei Wu, and Lijun Zhang. "Rotation Angle Estimation of JPEG Compressed Image by Cyclic Spectrum Analysis." Electronics 8, no. 12 (November 30, 2019): 1431. http://dx.doi.org/10.3390/electronics8121431.
Full textOliveira, Rui Jorge, Bento Caldeira, Teresa Teixidó, and José Fernando Borges. "GPR Clutter Reflection Noise-Filtering through Singular Value Decomposition in the Bidimensional Spectral Domain." Remote Sensing 13, no. 10 (May 20, 2021): 2005. http://dx.doi.org/10.3390/rs13102005.
Full textVukotić, Vedran, Vivien Chappelier, and Teddy Furon. "Are Classification Deep Neural Networks Good for Blind Image Watermarking?" Entropy 22, no. 2 (February 8, 2020): 198. http://dx.doi.org/10.3390/e22020198.
Full textZavoyskih, М., A. Korobeynikov, A. Menlitdinov, V. Lyuminarskiy, and Yu Kuzelin. "The electrocardiogram signal morphology analysis based on convolutional neural network." Information Technology and Nanotechnology, no. 2416 (2019): 34–42. http://dx.doi.org/10.18287/1613-0073-2019-2416-34-42.
Full textYadav, Nirmal. "Retinal blood vessels detection for diabetic retinopathy with Ridgelet transform and convolution neural network." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 06 (September 11, 2020): 2050048. http://dx.doi.org/10.1142/s0219691320500484.
Full textJosé, Marco V., and 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, no. 1438 (October 29, 2003): 1625–41. http://dx.doi.org/10.1098/rstb.2003.1291.
Full textWalinjkar, Amit. "A Composite and Wearable Sensor Kit for Location-Aware Healthcare Monitoring and Real-Time Trauma Scoring for Survival Prediction." Applied System Innovation 1, no. 3 (September 12, 2018): 35. http://dx.doi.org/10.3390/asi1030035.
Full textAllian, Farhad, and Rekha Jain. "The need for new techniques to identify the high-frequency MHD waves of an oscillating coronal loop." Astronomy & Astrophysics 650 (June 2021): A91. http://dx.doi.org/10.1051/0004-6361/202039763.
Full textMaraun, D., and J. Kurths. "Cross wavelet analysis: significance testing and pitfalls." Nonlinear Processes in Geophysics 11, no. 4 (November 11, 2004): 505–14. http://dx.doi.org/10.5194/npg-11-505-2004.
Full textNagai, Shuto, Daisuke Anzai, and Jianqing Wang. "Motion artefact removals for wearable ECG using stationary wavelet transform." Healthcare Technology Letters 4, no. 4 (June 14, 2017): 138–41. http://dx.doi.org/10.1049/htl.2016.0100.
Full textAn, Xiang, and George K. Stylios. "Comparison of Motion Artefact Reduction Methods and the Implementation of Adaptive Motion Artefact Reduction in Wearable Electrocardiogram Monitoring." Sensors 20, no. 5 (March 7, 2020): 1468. http://dx.doi.org/10.3390/s20051468.
Full textP, Vijaya, and Binu D. "Introduction to the Special Issue on Intelligence on Scalable computing for Recent Applications." Scalable Computing: Practice and Experience 21, no. 2 (June 27, 2020): 157–58. http://dx.doi.org/10.12694/scpe.v21i2.1581.
Full textChrapka, Philip, Hubert de Bruin, Gary Hasey, and Jim Reilly. "Wavelet-Based Muscle Artefact Noise Reduction for Short Latency rTMS Evoked Potentials." IEEE Transactions on Neural Systems and Rehabilitation Engineering 27, no. 7 (July 2019): 1449–57. http://dx.doi.org/10.1109/tnsre.2019.2908951.
Full textPerpetuini, David, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli, and Arcangelo Merla. "A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking." Sensors 21, no. 15 (July 28, 2021): 5117. http://dx.doi.org/10.3390/s21155117.
Full textGomez, Christopher, Kyoko Kataoka, Aditya Saputra, Patrick Wassmer, Atsushi Urabe, Justin Morgenroth, and 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, no. 1 (July 1, 2017): 16–27. http://dx.doi.org/10.23917/forgeo.v31i1.3977.
Full textFoo, Jong Yong A. "Comparison of wavelet transformation and adaptive filtering in restoring artefact-induced time-related measurement." Biomedical Signal Processing and Control 1, no. 1 (January 2006): 93–98. http://dx.doi.org/10.1016/j.bspc.2006.01.001.
Full textAstuti, Baiq Siska Febriani, Santi Wulan Purnami, R. Mohamad Atok, Wardah Rahmatul Islamiyah, Diah Puspito Wulandari, and 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, no. 2 (March 2021): 170–75. http://dx.doi.org/10.18178/ijmlc.2021.11.2.1031.
Full textPrema, P., T. Kesavamurthy, and 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, no. 3 (2019): 263. http://dx.doi.org/10.1504/ijbet.2019.100696.
Full textRamadoss, K., T. Kesavamurthy, and 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, no. 3 (2019): 263. http://dx.doi.org/10.1504/ijbet.2019.10022268.
Full textPeters, C. H. L., R. Vullings, M. J. Rooijakkers, J. W. M. Bergmans, S. G. Oei, and P. F. F. Wijn. "A continuous wavelet transform-based method for time-frequency analysis of artefact-corrected heart rate variability data." Physiological Measurement 32, no. 10 (August 18, 2011): 1517–27. http://dx.doi.org/10.1088/0967-3334/32/10/001.
Full textFeng, Lichen, Zunchao Li, and 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, no. 4 (May 22, 2020): 547–54. http://dx.doi.org/10.1049/iet-cds.2019.0491.
Full textSai, Chong Yeh, Norrima Mokhtar, Masahiro Iwahashi, Paul Cumming, and 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, no. 8 (June 12, 2021): 535–42. http://dx.doi.org/10.1049/sil2.12058.
Full textGómez, Kevin Alejandro Hernández, Julian D. Echeverry-Correa, and Álvaro Ángel Orozco Gutiérrez. "Automatic Pectoral Muscle Removal and Microcalcification Localization in Digital Mammograms." Healthcare Informatics Research 27, no. 3 (July 31, 2021): 222–30. http://dx.doi.org/10.4258/hir.2021.27.3.222.
Full textRoberts, M. B., S. A. Parfitt, M. I. Pope, F. F. Wenban-Smith, R. I. Macphail, A. Locker, and 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.
Full text"Artefact Removal from EEG Signals using Total Variation De-noising." International Journal of Innovative Technology and Exploring Engineering 9, no. 5 (March 10, 2020): 2357–61. http://dx.doi.org/10.35940/ijitee.e2703.039520.
Full textMarsh, Richard J., Ishan Costello, Mark-Alexander Gorey, Donghan Ma, Fang Huang, Mathias Gautel, Maddy Parsons, and Susan Cox. "Sub-diffraction error mapping for localisation microscopy images." Nature Communications 12, no. 1 (September 23, 2021). http://dx.doi.org/10.1038/s41467-021-25812-z.
Full textZhou, Bo, Adam J. Ruggles, Erxiong Huang, and Jonathan H. Frank. "Wavelet-based algorithm for correction of beam-steering artefacts in turbulent flow imaging at elevated pressures." Experiments in Fluids 60, no. 8 (July 29, 2019). http://dx.doi.org/10.1007/s00348-019-2782-6.
Full textDu, Xiuli, Jinting Liu, Wei Zhang, and Ya'na Lv. "Blocking artefacts reduction based on a ripple matrix permutation image of high‐frequency images in the wavelet domain." IET Image Processing, April 20, 2021. http://dx.doi.org/10.1049/ipr2.12217.
Full textRosario Quirino Iannone, Stefano Casadio, and Bojan Bojkov. "A new method for the validation of the GOMOS high resolution temperature profiles products." Annals of Geophysics 57, no. 5 (October 14, 2014). http://dx.doi.org/10.4401/ag-6487.
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