Results 21 to 30 of about 397,815 (169)
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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Boosting magnetic resonance imaging signal-to-noise ratio using magnetic metamaterials
Communications Physics, 2019 Magnetic resonance imaging (MRI) represents a mainstay among the diagnostic imaging tools in modern healthcare. Signal-to-noise ratio (SNR) represents a fundamental performance metric of MRI, the improvement of which may be translated into increased ...
G. Duan +3 more
semanticscholar +1 more source
Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
Signals, 2022 In recent years, a wide range of hyperspectral imaging systems using coded apertures have been proposed. Many implement compressive sensing to achieve faster acquisition of a hyperspectral data cube, but it is also potentially beneficial to use coded ...
Jonathan Piper +2 more
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Noise and Health, 2016 Introduction: Noise is considered as the most common cause of harmful physical effects in the workplace. A sound that is generated from within the inner ear is known as an otoacoustic emission (OAE).
Parvin Nassiri +5 more
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Adaptive Signal-to-Noise Ratio Indicator for Wearable Bioimpedance Monitoring
Sensors, 2023 Bioimpedance monitoring is an increasingly important non-invasive technique for assessing physiological parameters such as body composition, hydration levels, heart rate, and breathing.
Didzis Lapsa +2 more
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Odds Ratios are far from "portable": A call to use realistic models for effect variation in meta-analysis [PDF]
arXiv, 2021 Objective: Recently Doi et al. argued that risk ratios should be replaced with odds ratios in clinical research. We disagreed, and empirically documented the lack of portability of odds ratios, while Doi et al. defended their position. In this response we highlight important errors in their position.
arxiv
Remote Sensing Low Signal-to-Noise-Ratio Target Detection Enhancement
Sensors, 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
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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
doaj
Inclusion properties of the triangular ratio metric balls [PDF]
arXiv, 2022 Inclusion properties are studied for balls of the triangular ratio metric, the hyperbolic metric, the $j^*$-metric, and the distance ratio metric defined in the unit ball domain. Several sharp results are proven and a conjecture about the relation between triangular ratio metric balls and hyperbolic balls is given.
arxiv
Ratio Estimation in SIMS Analysis [PDF]
, 2011 The determination of an isotope ratio by secondary ion mass spectrometry (SIMS) traditionally involves averaging a number of ratios collected over the course of a measurement. We show that this method leads to an additive positive bias in the expectation value of the estimated ratio that is approximately equal to the true ratio divided by the counts of
arxiv +1 more source