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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GLRT-Based Direction Detectors in Homogeneous Noise and Subspace Interference [PDF]
, 2007 In this paper, we derive and assess decision schemes to discriminate, resorting to an array of sensors, between the H0 hypothesis that data under test contain disturbance only (i.e., noise plus interference) and the H1 hypothesis that they also contain ...
Ricci, Giuseppe +12 more
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Time-Domain Sparsity-Based Bearing Fault Diagnosis Methods Using Pulse Signal-to-Noise Ratio [PDF]
A fast and automated technique is crucial for bearing faults diagnosis during operation. To circumvent the intricacies of signal spectrum analysis, a diagnostic method named the pulse signal-to-noise ratio (PSNR) test is proposed by exploiting the time ...
Wei, Shaoming +6 more
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Improved Radar Detection of Small Drones Using Doppler Signal-to-Clutter Ratio (DSCR) Detector
Drones, 2023 The detection of drones using radar presents challenges due to their small radar cross-section (RCS) values, slow velocities, and low altitudes. Traditional signal-to-noise ratio (SNR) detectors often fail to detect weak radar signals from small drones ...
Jiangkun Gong +4 more
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Novel Method to Improve the Signal to Noise Ratio in the Far-field Results Obtained from Planar Near Field Measurements. [PDF]
, 2010 A method to reduce the noise power in far-field pattern without modifying the desired signal is proposed. Therefore, an important signal-to-noise ratio improvement may be achieved.
Cano Facila, Francisco Jose +3 more
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Comparative signal to noise ratio as a determinant to select smartphone image sensor colour channels for analysis in the UVB [PDF]
, 2018 The signal to noise ratio (SNR) is an important consideration for any scientific image sensor application, particularly the relatively low light involved with observations of the solar disc at a discrete ultraviolet-B (UVB) wavelength using an unmodified
J. Turner +12 more
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signal-to-noise ratio estimate and its instantaneous case [PDF]
, 2020 Minimum mean-square error (MMSE) approaches to speech enhancement are widely used in the literature. The quality of enhanced speech produced by an MMSE approach is directly impacted by the accuracy of the employed a priori signal-to-noise ratio (SNR ...
Nicolson, Aaron +3 more
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Transient-to-noise ratio restoration of coded applause-like signals [PDF]
, 2022 S.349-353Coding of signals with high amount of dense transient events, like applause, rain drops, etc., is usually a difficult task for perceptual audio coders.
Herzog, A. +3 more
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Electron transfer between complexes III and IV in S. cerevisiae mitochondrial membranes
FEBS Letters, EarlyView.Mitochondrial oxidative phosphorylation in S. cerevisiae mitoplasts is limited by complex IV catalytic capacity, rather than two‐dimensional cytochrome c diffusion. At physiological cytochrome c : supercomplex ratios at salinity equivalent to that of 20 mm monovalent salt, activity is maximized, indicating that this low ionic strength accurately mimics
Ana Paula Lobez +2 more
wiley +1 more source
Measuring the signal-to-noise ratio of a neuron [PDF]
Proceedings of the National Academy of Sciences, 2015 SignificanceNeurons represent both signal and noise in binary electrical discharges termed action potentials. Hence, the standard signal-to-noise ratio (SNR) definition of signal amplitude squared and divided by the noise variance does not apply. We show that the SNR estimates a ratio of expected prediction errors.
Czanner, Gabriela +9 more
openaire +4 more sources