Results 21 to 30 of about 480,055 (301)

Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques [PDF]

open access: yes, 2014
In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of wavelet packet transform (WPT), empirical mode decomposition (EMD) and ...
Koushik Maharatna   +7 more
core   +1 more source

iCap: New method for noise reduction in electroencephalography (EEG) signals

open access: yesمجلة جامعة دمشق للعلوم الهندسية, 2022
Electroencephalographic (EEG) signal’s importance increases as the neurotechnology research and industry accelerate. Therefore, it is crucial to acquire noise-free signals by maximising the signal-to-noise ratio (SNR). Many methods are followed to clean
Nibras ABO ALZAHAB Riham DAIEA Mhd Shafik ALNAHHAS
doaj  

Remote Sensing Low Signal-to-Noise-Ratio Target Detection Enhancement

open access: yesSensors, 2023
In real-time remote sensing application, frames of data are continuously flowing into the processing system. The capability of detecting objects of interest and tracking them as they move is crucial to many critical surveillance and monitoring missions ...
Tian J. Ma, Robert J. Anderson
doaj   +1 more source

Adaptive processing with signal contaminated training samples [PDF]

open access: yes, 2013
We consider the adaptive beamforming or adaptive detection problem in the case of signal contaminated training samples, i.e., when the latter may contain a signal-like component.
Bidon, Stéphanie   +3 more
core   +1 more source

Robust Automatic Modulation Classification in Low Signal to Noise Ratio

open access: yesIEEE Access, 2023
In a non-cooperative communication environment, automatic modulation classification (AMC) is an essential technology for analyzing signals and classifying different kinds of signal modulation before they are demodulated.
To Truong An, Byung Moo Lee
doaj   +1 more source

Attention-dependent modulation of cortical taste circuits revealed by granger causality with signal-dependent noise [PDF]

open access: yes, 2013
We show, for the first time, that in cortical areas, for example the insular, orbitofrontal, and lateral prefrontal cortex, there is signal-dependent noise in the fMRI blood-oxygen level dependent (BOLD) time series, with the variance of the noise ...
Luo, Qiang   +15 more
core   +1 more source

Phrases in noise test (PINT) Brazil: effectiveness of the test in children with hearing loss

open access: yesBrazilian Journal of Otorhinolaryngology, 2021
Introduction: One of the main implications of hearing impairment is the difficulty in perceiving speech sounds, especially in noisy environments. Thus, the frequency-modulated system is considered an important educational tool for children with hearing ...
Regina Tangerino de Souza Jacob   +6 more
doaj   +1 more source

Compression by Noise Equalization [PDF]

open access: yes, 2013
For any relation of the noise variance with the gray value, a nonlinear transform h(g) can be applied so that the variance of the transformed signal h is constant.
Jähne, Bernd
core   +1 more source

Signal-to-noise-ratio of the central bile ducts on T2 MRCP and T1 3D MRC.

open access: yes, 2018
Signal-to-noise-ratio of the central bile ducts on T2 MRCP and T1 3D MRC.
Marcus Richard Makowski (5721284)   +7 more
core   +1 more source

Signal-to-noise ratio (SNR±SD dB), excess attenuation (EA±SD dB) and tail-to-signal ratio (TSR±SD dB) for combined male and female song phrases in the forest, shrubs and along the stream.

open access: yes, 2022
Signal-to-noise ratio (SNR±SD dB), excess attenuation (EA±SD dB) and tail-to-signal ratio (TSR±SD dB) for combined male and female song phrases in the forest, shrubs and along the stream.
Tomasz S. Osiejuk (10287277)   +3 more
core   +1 more source

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