Signal to Noise Ratio of a Coded Slit Hyperspectral Sensor
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
doaj +1 more source
Gravitational waves from eccentric compact binaries: Reduction in signal-to-noise ratio due to nonoptimal signal processing [PDF]
Inspiraling compact binaries have been identified as one of the most promising sources of gravitational waves for interferometric detectors. Most of these binaries are expected to have circularized by the time their gravitational waves enter the ...
A. Gopakumar +31 more
core +2 more sources
Dopamine enhances signal-to-noise ratio in cortical-brainstem encoding of aversive stimuli
Dopamine modulates medial prefrontal cortex (mPFC) activity to mediate diverse behavioural functions1,2; however, the precise circuit computations remain unknown.
Caitlin M. Vander Weele +15 more
semanticscholar +1 more source
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
doaj +1 more source
Signal-to-noise ratio and signal-to-noise efficiency in SMASH imaging [PDF]
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
openaire +2 more sources
Graphene Nanogrids FET Immunosensor: Signal to Noise Ratio Enhancement
Recently, a reproducible and scalable chemical method for fabrication of smooth graphene nanogrids has been reported which addresses the challenges of graphene nanoribbons (GNR).
Jayeeta Basu, Chirasree RoyChaudhuri
doaj +1 more source
Robust Automatic Modulation Classification in Low Signal to Noise Ratio
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
iCap: New method for noise reduction in electroencephalography (EEG) signals
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
Phrases in noise test (PINT) Brazil: effectiveness of the test in children with hearing loss
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
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]
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
doaj +1 more source

