Results 31 to 40 of about 118,476 (365)
Sensors, 2019 In this paper, a novel hybrid method combining adaptive chirp mode pursuit (ACMP) with an adaptive multiscale Savitzky−Golay filter (AMSGF) based on adaptive moving average (AMA) is proposed for offline denoising micro-electromechanical system ...
Jingjing He, Changku Sun, Peng Wang
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Discrete Denoising With Shifts [PDF]
IEEE Transactions on Information Theory, 2009 We introduce S-DUDE, a new algorithm for denoising DMC-corrupted data. The algorithm, which generalizes the recently introduced DUDE (Discrete Universal DEnoiser) of Weissman et al., aims to compete with a genie that has access, in addition to the noisy data, also to the underlying clean data, and can choose to switch, up to $m$ times, between sliding ...
Taesup Moon, Tsachy Weissman
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MP-PCA denoising for diffusion MRS data: promises and pitfalls
NeuroImage, 2022 Diffusion-weighted (DW) magnetic resonance spectroscopy (MRS) suffers from a lower signal to noise ratio (SNR) compared to conventional MRS owing to the addition of diffusion attenuation. This technique can therefore strongly benefit from noise reduction
Jessie Mosso +5 more
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Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising
, 2022 11 pages, 18 ...
Ruizhou Liu +5 more
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Sensors, 2017 As the sound signal of ships obtained by sensors contains other many significant characteristics of ships and called ship-radiated noise (SN), research into a denoising algorithm and its application has obtained great significance. Using the advantage of
Yuxing Li, Yaan Li, Xiao Chen, Jing Yu
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Universal Framework for Joint Image Restoration and 3D Body Reconstruction
IEEE Access, 2021 Recent works have demonstrated excellent state-of-the-art achievements in image restoration and 3D body reconstruction from an input image. The 3D body reconstruction task, however, relies heavily on the input image’s quality.
Jonathan Samuel Lumentut +5 more
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Cross-Scale KNN Image Transformer for Image Restoration
IEEE Access, 2023 Numerous image restoration approaches have been proposed based on attention mechanism, achieving superior performance to convolutional neural networks (CNNs) based counterparts.
Hunsang Lee +3 more
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62442katieb/mbme-physio-denoising: Initial version, not BIDS compatible
, 2022 Version of the pipeline used in Denoising physiological data collected during multi-band, multi-echo EPI sequences, to apply comb band-stop filters to electrocardiogram and electrodermal activity recordings acquired concurrently with multiband, [multi ...
Katie Bottenhorn
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Similarity and denoising [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2013 We can discover the effective similarity among pairs of finite objects and denoise a finite object using the Kolmogorov complexity of these objects. The drawback is that the Kolmogorov complexity is not computable. If we approximate it, using a good real-world compressor, then it turns out that on natural data the processes give adequate results in ...
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A Preprocessing Strategy for Denoising of Speech Data Based on Speech Segment Detection
Applied Sciences, 2020 In this paper, we propose a preprocessing strategy for denoising of speech data based on speech segment detection. A design of computationally efficient speech denoising is necessary to develop a scalable method for large-scale data sets. Furthermore, it
Seung-Jun Lee, Hyuk-Yoon Kwon
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