Results 51 to 60 of about 118,476 (365)
Hybrid IIR/FIR Wavelet Filter Banks for ECG Signal Denoising [PDF]
, 2018 ElectroCardioGram (ECG) signals are usually corrupted with various types of artifacts which degrade the signal quality and might lead to misdiagnosis.
Eminaga, Y., Kale, I., Coskun, A.
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Composite Denoising Autoencoders [PDF]
, 2016 In representation learning, it is often desirable to learn features at different levels of scale. For example, in image data, some edges will span only a few pixels, whereas others will span a large portion of the image. We introduce an unsupervised representation learning method called a composite denoising autoencoder CDA to address this.
Geras, Krzysztof, Sutton, Charles
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On the use of singular value decomposition for QRS detection and ECG denoising
Current Directions in Biomedical Engineering, 2022 QRS detection is a pre-processing step to detect the heartbeat in an electrocardiogram (ECG) for subsequent rhythm classification. However, measured ECG waveforms may differ as a result of intrinsic variability or due to artefacts or noise.
Schanze Thomas
doaj +1 more source
Accurate, fast and stable denoising source separation algorithms [PDF]
, 2004 Denoising source separation is a recently introduced framework for building source separation algorithms around denoising procedures. Two developments are reported here.
Harri Valpola +3 more
core +1 more source
Sensors, 2021 We formulate multi-spectral fusion and denoising for the luminance channel as a maximum a posteriori estimation problem in the wavelet domain. To deal with the discrepancy between RGB and near infrared (NIR) data in fusion, we build a discrepancy model ...
Haonan Su, Cheolkon Jung, Long Yu
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PET image denoising based on denoising diffusion probabilistic model
European Journal of Nuclear Medicine and Molecular Imaging, 2023 8 ...
Kuang Gong +4 more
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Diagnostics, 2022 Acquisition time and injected activity of 18F-fluorodeoxyglucose (18F-FDG) PET should ideally be reduced. However, this decreases the signal-to-noise ratio (SNR), which impairs the diagnostic value of these PET scans.
Bart M. de Vries +11 more
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Research on adaptive modulus maxima selection of wavelet modulus maxima denoising
The Journal of Engineering, 2018 Microelectromechanical system (MEMS) accelerometers are small in size, low in power consumption and easily integrated. They can be used in intelligent hydraulic components to obtain the dynamic acceleration of the system and monitor the operating status ...
Wensi Ding, Zhiguo Li
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Sparse Representing Denoising of Hyperspectral Data for Water Color Remote Sensing
Applied Sciences, 2022 Hyperspectral data are important for water color remote sensing. The inevitable noise will devalue its application. In this study, we developed a 1-D denoising method for water hyperspectral data, based on sparse representing.
Yulong Guo +7 more
doaj +1 more source
, 2010 The optical power penalty (OPP) due to the artificial light interferences (ALIs) can be significantly high in an indoor optical wireless communication (OWC) channel making such link practically infeasible.
Ghassemlooy, Zabih +5 more
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