iCap: New method for noise reduction in electroencephalography (EEG) signals
مجلة 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
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Robust Automatic Modulation Classification in Low Signal to Noise Ratio
IEEE 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
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Phrases in noise test (PINT) Brazil: effectiveness of the test in children with hearing loss
Brazilian 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
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Signal-to-noise ratio and signal-to-noise efficiency in SMASH imaging [PDF]
Magnetic Resonance in Medicine, 1999 A general theory of signal-to-noise ratio (SNR) in simultaneous acquisition of spatial harmonics (SMASH) imaging is presented, and the predictions of the theory are verified in imaging experiments and in numerical simulations. In a SMASH image, multiple lines of k-space are generated simultaneously through combinations of magnetic resonance signals in ...
D K, Sodickson +4 more
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Signal to Noise Ratio Loss Function
CoRR, 2021 This work proposes a new loss function targeting classification problems, utilizing a source of information overlooked by cross entropy loss. First, we derive a series of the tightest upper and lower bounds for the probability of a random variable in a given interval.
Ali Ghobadzadeh, Amir Lashkari
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Classification and redshift estimation by principal component analysis [PDF]
, 2002 We show that the first 10 eigencomponents of the Karhunen-Lo\`eve expansion or Principal Component Analysis (PCA) provide a robust classification scheme for the identification of stars, galaxies and quasi-stellar objects from multi-band photometry.
Bagoly +57 more
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Breathing-induced Errors in Quantification and Description of Dominant Intra-Prostatic Lesions (Dils) in PET Images: A Simulation Study by Means of The 4D NCAT Phantom [PDF]
Journal of Biomedical Physics and Engineering, 2022 Background: Respiratory movement and the motion range of the diaphragm can affect the quality and quantity of prostate images.Objective: This study aimed to investigate the magnitude of respiratory-induced errors to determine Dominant Intra- prostatic ...
Khadijeh Bamneshin +5 more
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A study on correlation between thyroid CT radiation dose, image quality and female body composition [PDF]
Zhongguo aizheng zazhiBackground and purpose: With the increasing use of medical imaging examinations, Computed tomography (CT) scans have become one of the primary sources of effective dose.
SHEN Xigang, LIN Chengxiang, PENG Weijun, GU Yajia
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Sequential joint signal detection and signal-to-noise ratio estimation
, 2017 The sequential analysis of the problem of joint signal detection and signal-to-noise ratio (SNR) estimation for a linear Gaussian observation model is considered.
Fauß, M. +3 more
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Design of Piecewise Uniform Scalar Quantizer with Geometric Progression of Segment Width
Advances in Electrical and Computer Engineering, 2011 In this paper, the design procedure of the piecewise uniform scalar quantizer having segments with widths that form a geometric progression is presented.
NIKOLIC, J., PERIC, Z.
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