Results 321 to 330 of about 7,223,170 (368)

Hyperspectral Mixed Gaussian and Sparse Noise Reduction

IEEE Geoscience and Remote Sensing Letters, 2020
Hyperspectral images (HSIs) are often degraded by different noise types such as Gaussian and sparse noise. In this letter, a hyperspectral mixed Gaussian and sparse noise reduction technique, the HyMiNoR, is proposed.
Behnood Rasti, Pedram Ghamisi, J. Benediktsson   +2 more
semanticscholar   +1 more source

A Survey of Active EMI Filters for Conducted EMI Noise Reduction in Power Electronic Converters

IEEE transactions on electromagnetic compatibility (Print), 2019
Wide bandgap devices enable high power density power converters. Despite the advantages of increased switching frequency, the passive components are still a major bottleneck toward enabling high power density.
B. Narayanasamy, F. Luo
semanticscholar   +1 more source

Speckle noise reduction for digital holographic images using multi-scale convolutional neural networks.

Optics Letters, 2018
In this Letter, we propose a fast speckle noise reduction method with only a single reconstructed image based on convolutional neural networks. The proposed network has multi-sized kernels that can capture the speckle noise component effectively from ...
Wonseok Jeon, Wooyoung Jeong, Kyungchan Son, Hyunseok Yang   +3 more
semanticscholar   +1 more source

QUANTUM NOISE REDUCTION IN LASERS

Journal of Nonlinear Optical Physics & Materials, 1996
The intensity noise of semiconductor lasers was brought below shot noise by about 30% using constant current supply together with line narrowing techniques. This result is shown to be in good agreement with theoretical predictions of a laser theory including regulated pumping.
E. GIACOBINO, MARIN, FRANCESCO, A. BRAMATI, AND V. JOST   +3 more
openaire   +2 more sources

Growth: Noise reduction and universality

Physical Review Letters, 1989
A Comment on the Letter by J. M. Kim and J. M. Kosterlitz, Phys. Rev. Lett. 62, 2289 (1989).
Wolf, Dietrich, Kertesz, Janos
openaire   +3 more sources

Noise Reduction

Modern Algorithms for Image Processing, 2018
V. Kovalevsky
openaire   +2 more sources

Noise reduction in dynamical systems

Physical Review A, 1988
A method is described for reducing noise levels in certain experimental time series. An attractor is reconstructed from the data using the time-delay embedding method. The method produces a new, slightly altered time series which is more consistent with the dynamics on the corresponding phase-space attractor.
, Kostelich, , Yorke
openaire   +2 more sources

Nonlinear noise reduction for electrocardiograms

Chaos: An Interdisciplinary Journal of Nonlinear Science, 1996
The electrical activity of the heart usually shows dynamical behavior which is neither periodic nor deterministically chaotic: The interbeat intervals seem to contain a random component. Although long term predictions are thus impossible, good predictions can be made for times smaller than one heart cycle.
Thomas, Schreiber, Daniel T., Kaplan
openaire   +2 more sources

NOISE REDUCTION BY GRADIENT DESCENT

International Journal of Bifurcation and Chaos, 1993
The problem of reducing noise in a time series from a nonlinear dynamical system can be formulated as a nonlinear minimisation process. This paper demonstrates that this can be easily solved using a steepest descent method without any of the stability problems that have been associated with using a Newton method [Hammel, 1990; Farmer & Sidorowich,
openaire   +1 more source

Novel Noise Reduction Methods

2014
Magnetoencephalography (MEG) is a non-invasive neuroimaging tool that offers a combination of excellent temporal and good spatial resolution, provided that the acquired signals have a high enough signal-to-noise ratio. This requirement is often compromised as MEG signals are very weak and often masked by interfering signals from environmental noise ...
Samu Taulu, Juha Simola, Jukka Nenonen, Lauri Parkkonen   +3 more
openaire   +1 more source