Search results for "Signal-to-noise ratio"

showing 10 items of 96 documents

Evaluation of Coded Excitations for Autonomous Airborne Ultrasonic Inspection

2019

Unmanned Aerial Vehicles (UAVs) are receiving increasing attention for use in Non-Destructive Testing due to their ability to access areas where manual inspection is not practical. Contact-based UAV ultrasonic inspections grant the opportunity to remotely monitor the structural health of an industrial asset with enhanced internal integrity information. Ultrasonic inspection is a Non-Destructive Testing (NDT) method conventionally used in corrosion mapping. Surface contacting ultrasonic transducers provide enhanced structural integrity information. However, due to near-surface aerodynamic effects, angular sensitivity of the ultrasound probe and alignment error during autonomous inspections, …

021103 operations researchbusiness.industryComputer scienceTKUAVAcousticsUltrasonic testing0211 other engineering and technologies02 engineering and technology01 natural sciencesSignalCorrosionSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di MacchineTransducerUltrasound probeSignal-to-noise ratioUltrasonic InspectionNondestructive testing0103 physical sciencesUltrasonic sensorCoded Excitationbusiness010301 acoustics2019 IEEE International Ultrasonics Symposium (IUS)
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Establishing and validating a new source analysis method using phase.

2017

Electroencephalogram (EEG) measures the brain oscillatory activity non-invasively. The localization of deep brain generators of the electric fields is essential for understanding neuronal function in healthy humans and for damasking specific regions that cause abnormal activity in patients with neurological disorders. The aim of this study was to test whether the phase estimation from scalp data can be reliably used to identify the number of dipoles in source analyses. The steps performed included: i) modeling different phasic oscillatory signals using auto-regressive processes at a particular frequency, ii) simulation of two different noises, namely white and colored noise, having differen…

0301 basic medicinePhase (waves)ElectroencephalographySignal-To-Noise RatioTemporal lobe03 medical and health sciencesEpilepsy0302 clinical medicineSignal-to-noise ratiomedicineHumansAnalysis methodBrain Mappingmedicine.diagnostic_testbusiness.industryBrainPattern recognitionElectroencephalographymedicine.disease030104 developmental biologymedicine.anatomical_structureEpilepsy Temporal LobeColors of noiseScalpArtificial intelligencePsychologybusinessNeuroscience030217 neurology & neurosurgeryAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Noise estimation from averaged diffusion weighted images: Can unbiased quantitative decay parameters assist cancer evaluation?

2013

Purpose Multiexponential decay parameters are estimated from diffusion-weighted-imaging that generally have inherently low signal-to-noise ratio and non-normal noise distributions, especially at high b-values. Conventional nonlinear regression algorithms assume normally distributed noise, introducing bias into the calculated decay parameters and potentially affecting their ability to classify tumors. This study aims to accurately estimate noise of averaged diffusion-weighted-imaging, to correct the noise induced bias, and to assess the effect upon cancer classification. Methods A new adaptation of the median-absolute-deviation technique in the wavelet-domain, using a closed form approximati…

AdultKeywords: diffusion weighted magnetic resonance imagingdiffusion weighted magnetic resonance imagingMiddle AgedModels TheoreticalSignal-To-Noise RatioImage EnhancementIVIMDiffusion Magnetic Resonance ImagingHead and Neck NeoplasmsLymphatic MetastasisImage Interpretation Computer-AssistedCarcinoma Squamous CellHumansnoise estimationImaging Methodology—Full PapersAlgorithmsAged
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Multi-domain feature extraction for small event-related potentials through nonnegative multi-way array decomposition from low dense array EEG

2013

Non-negative Canonical Polyadic decomposition (NCPD) and non-negative Tucker decomposition (NTD) were compared for extracting the multi-domain feature of visual mismatch negativity (vMMN), a small event-related potential (ERP), for the cognitive research. Since signal-to-noise ratio in vMMN is low, NTD outperformed NCPD. Moreover, we proposed an approach to select the multi-domain feature of an ERP among all extracted features and discussed determination of numbers of extracted components in NCPD and NTD regarding the ERP context.

AdultMaleComputer Networks and CommunicationsFeature extractionEmotionsMismatch negativityContext (language use)Signal-To-Noise RatioSignal-to-noise ratioEvent-related potentialDecomposition (computer science)HumansMathematicsBrain MappingElectronic Data Processingbusiness.industryta111BrainPattern recognitionElectroencephalographyGeneral MedicineMiddle AgedFeature (computer vision)Evoked Potentials VisualFemaleArtificial intelligencebusinessPhotic StimulationTucker decompositionInternational Journal of Neural Systems
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Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods

2015

Arterial spin labeling (ASL) is an emerging MRI technique for non-invasive measurement of cerebral blood flow (CBF). Compared to invasive perfusion imaging modalities, ASL suffers from low sensitivity due to poor signal-to-noise ratio (SNR), susceptibility to motion artifacts and low spatial resolution, all of which limit its reliability. In this work, the effects of various state of the art image processing techniques for addressing these ASL limitations are investigated. A processing pipeline consisting of motion correction, ASL motion correction imprecision removal, temporal and spatial filtering, partial volume effect correction, and CBF quantification was developed and assessed. To fur…

AdultMaleComputer scienceCognitive Neurosciencecerebral blood flowPartial volumePerfusion scanningImage processingSignal-To-Noise RatioYoung AdultImage Processing Computer-Assistedspin labelingHumansreproducibilityImage resolutionReproducibilitySpatial filterbusiness.industrymultiphase pseudo-continuous arterialBrainReproducibility of ResultsSite-directed spin labelingImage EnhancementMagnetic Resonance Imagingarterial spin labelingNeurologyCerebral blood flowArterial spin labelingFemaleSpin Labelsperfusion MRIArtifactsNuclear medicinebusinesstest–retestBiomedical engineeringNeuroImage
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Diffusion-tensor MR imaging at 1.5 and 3.0 T: initial observations.

2001

Diffusion-tensor MR imaging was compared at 1.5 and 3.0 T. With sufficient signal-to-noise ratio, we found no differences in fractional anisotropy. With a 40% higher signal-to-noise ratio at 3.0 T, higher resolution could be obtained without introduction of noise-related errors, albeit at the cost of increased geometric distortions caused by 3.0-T magnetic field inhomogeneities.

AdultMalebusiness.industryPhantoms ImagingResolution (electron density)BrainMagnetic Resonance ImagingMagnetic fieldNuclear magnetic resonanceSignal-to-noise ratio (imaging)Fractional anisotropySpin echoMedicineHumansRadiology Nuclear Medicine and imagingFemaleTensorDiffusion (business)businessDiffusion MRIRadiology
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SAN plot: A graphical representation of the signal, noise, and artifacts content of spectra

2019

The signal-to-noise ratio is an important property of NMR spectra. It allows to compare the sensitivity of experiments, the performance of hardware, etc. Its measurement is usually done in a rudimentary manner involving manual operation of selecting separately a region of the spectrum with signal and noise, respectively, applying some operation and returning the signal-to-noise ratio. We introduce here a simple method based on the analysis of the distribution of point intensities in one- and two-dimensional spectra. The signal/artifact/noise plots, (SAN plots) allows one to present in a graphical manner qualitative and quantitative information about spectra. It will be shown that besides me…

Artifact (error)ChemistryNoise (signal processing)General ChemistrySignalPlot (graphics)NMRSignal-to-noise ratioSAN plotddc:540General Materials SciencePoint (geometry)Representation (mathematics)AlgorithmSensitivity (electronics)
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On the feasibility of personal audio systems over a network of distributed loudspeakers

2018

Los sistemas de reproducción de audio personal se ocupan de la creación de zonas sonoras personales dentro de una habitación sin necesidad de utilizar auriculares. Estos sistemas utilizan un conjunto de altavoces y diseñan los filtros necesarios en cada altavoz con el fin de que la señal de audio deseada llegue a cada persona en la sala lo más libre de interferencias posible. Existen propuestas muy interesantes en la literatura que hacen uso de arrays circulares o lineales, pero en este trabajo estudiamos el problema considerando una red de altavoces distribuidos controlados por un conjunto de nodos acústicos, que pueden intercambiar información a través de una red. Enunciamos el modelo de …

Audio signalbusiness.product_category:CIENCIAS TECNOLÓGICAS [UNESCO]MicrophoneComputer scienceAcoustics020206 networking & telecommunications02 engineering and technologypersonal audio systemsUNESCO::CIENCIAS TECNOLÓGICASGeneralLiterature_MISCELLANEOUSSignal-to-noise ratioSound reinforcement system0202 electrical engineering electronic engineering information engineeringElectronic engineering020201 artificial intelligence & image processingLoudspeakerDirectional soundwireless acoustic sensor networksbusinessHeadphones
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Audiovisual speech perception in children with developmental language disorder in degraded listening conditions.

2013

Purpose The effect of the signal-to-noise ratio (SNR) on the perception of audiovisual speech in children with and without developmental language disorder (DLD) was investigated by varying the noise level and the sound intensity of acoustic speech. The main hypotheses were that the McGurk effect (in which incongruent visual speech alters the auditory speech percept) would be weaker for children with DLD than for controls and that it would get stronger with decreasing SNR in both groups. Method The participants were 8-year-old children with DLD and a sample of children with normal language development. In the McGurk stimuli, the consonant uttered by the voice differed from that articulated …

Auditory perceptionMaleLinguistics and LanguageVisual perceptionSpeech perceptionmedia_common.quotation_subjectLoudness PerceptionLipreadingSpecific language impairmentSignal-To-Noise Ratio050105 experimental psychologyLanguage and Linguistics03 medical and health sciencesSpeech and Hearing0302 clinical medicinePhoneticsPerceptionmedicineHumans0501 psychology and cognitive sciencesLanguage Development DisordersChildmedia_commonCued speechMotor theory of speech perceptionLanguage Tests05 social sciencesmedicine.diseaseAcoustic StimulationSpeech Discrimination TestsSpeech PerceptionMcGurk effectFemalePsychologyNoise030217 neurology & neurosurgeryChild LanguagePhotic StimulationCognitive psychologyJournal of speech, language, and hearing research : JSLHR
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Background noise suppression for acoustic localization by means of an adaptive energy detection approach

2008

A microphone array can be employed to localize dominant acoustic sources in a given noisy environment. This capability is successfully used in good signal to noise ratio (SNR) conditions but its accuracy decreases considerably in the presence of other background noise sources. In order to counteract this effect, a novel approach that combines the information provided by a Gaussian energy detector (GED) with the approved localization method SRP-PHAT is presented in this paper. To evaluate the presented technique, several acoustic sources (speech and impulsive sounds) were considered in a variety of different scenarios to demonstrate the robustness and the accuracy of the system proposed.

Background noisesymbols.namesakeMicrophone arraySignal-to-noise ratioComputer Science::SoundComputer scienceRobustness (computer science)AcousticsGaussianSpeech recognitionDetectorsymbolsNoise control2008 IEEE International Conference on Acoustics, Speech and Signal Processing
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