Results 61 to 70 of about 1,519,506 (293)
Perceptual Enhancement of Low Light Images Based on Two-Step Noise Suppression
Low-light images are seriously corrupted by noise due to the low signal-to-noise ratio. In low intensity, just-noticeable-difference (JND) is high, and thus the noise is not perceived well by human eyes.
Haonan Su, Cheolkon Jung
doaj +1 more source
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration
Single-channel speech enhancement in highly non-stationary noise conditions is a very challenging task, especially when interfering speech is included in the noise.
Maximilian Strake +4 more
doaj +1 more source
Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source
Random noise suppression of seismic data based on CEEMD-MSSA
Random noise is one of the common noises in seismic data, which has a direct impact on high-resolution imaging processing and fine interpretation of seismic data. Random noise attenuation methods based on the low-rank hypothesis of seismic data have been
WANG Shubin +4 more
doaj +1 more source
Temporal Divergence of True and False Alarms in Pediatric Nocturnal Seizure Monitoring
The early‐morning surge in false seizure alarms supports exploring time‐ or state‐dependent detection thresholds to reduce false detections. ABSTRACT Seizure detection devices can improve the safety of children with epilepsy, yet high false alarms limit their clinical applicability.
Mohammad Shahbakhti +6 more
wiley +1 more source
Design of a Dual-Path Speech Enhancement Model
Although both noise suppression and speech restoration are fundamental to speech enhancement, many Deep neural network (DNN)-based approaches tend to focus disproportionately on one, often overlooking the importance of their joint handling. In this study,
Seorim Hwang +2 more
doaj +1 more source
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
In this paper, we propose a novel Gaussian wavelet basis expansion-based phase noise suppression scheme for polarization-division-multiplexing (PDM) coherent optical orthogonal frequency division multiplexing (CO-OFDM) superchannel.
Yuanxiang Chen +6 more
doaj +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
A fully digital power supply noise thermometer [PDF]
Power Supply Noise (PSN) is one of the main concerns in scaled technology circuits, both if performance reliability must be assured and if power supply is to be dynamically reduced for dissipation regulation.
Marco D. Vittori +4 more
core +1 more source

