Results 61 to 70 of about 272,612 (359)
Star Sensor Denoising Algorithm Based on Edge Protection
Sensors, 2021 Single-pixel noise commonly appearing in a star sensor can cause an unexpected error in centroid extraction. To overcome this problem, this paper proposes a star image denoising algorithm, named Improved Gaussian Side Window Filtering (IGSWF).
Kaili Lu +4 more
doaj +1 more source
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
A Novel Denoising Method for Retaining Data Characteristics Brought from Washing Aeroengines
Mathematics, 2022 Airlines evaluate the energy-saving and emission reduction effect of washing aeroengines by analyzing the exhaust gas temperature margin (EGTM) data of aeroengines so as to formulate a reasonable washing schedule.
Zhiqi Yan +3 more
doaj +1 more source
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 ...
openaire +4 more sources
Video Denoising and Enhancement via Dynamic Video Layering
, 2017 Video denoising refers to the problem of removing "noise" from a video sequence. Here the term "noise" is used in a broad sense to refer to any corruption or outlier or interference that is not the quantity of interest.
Guo, Han, Vaswani, Namrata
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
doaj +1 more source
Blind Denoising Autoencoder [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2019 The final version accepted at IEEE Transactions on Neural Networks and Learning ...
openaire +3 more sources
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
doaj +1 more source
Feature-enhanced X-ray imaging using fused neural network strategy with designable metasurface
Nanophotonics, 2023 Scintillation-based X-ray imaging can provide convenient visual observation of absorption contrast by standard digital cameras, which is critical in a variety of science and engineering disciplines.
Shi Hao +13 more
doaj +1 more source
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
doaj +1 more source