Search results for "Noise floor"

showing 10 items of 14 documents

FPGA based digital lock-in amplifier for fNIRS systems

2018

Lock-In Amplifiers (LIA) represent a powerful technique helping to improve signals detectability when low signal to noise ratios are experienced. Continuous Wave functional Near Infrared Spectroscopy (CW-fNIRS) systems for e-health applications usually suffer of poor detection due to the presence of strong attenuations of the optical recovering path and therefore small signals are severely dipped in a high noise floor. In this work a digital LIA system, implemented on a Zynq® Field Programmable Gate Array (FPGA), has been designed and tested to verify the quality of the developed solution, when applied in fNIRS systems. Experimental results have shown the goodness of the proposed solutions.

010302 applied physicsComputer scienceAmplifier0206 medical engineeringLock-in amplifierDigital lock-in amplifier02 engineering and technology020601 biomedical engineering01 natural sciencesNoise floorSettore ING-INF/01 - ElettronicaSilicon photomultiplier (SiPM)Quality (physics)0103 physical sciencesElectronic engineeringContinuous waveFunctional near-infrared spectroscopyField-programmable gate arrayFpgaFunctional near-infrared spectroscopy
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Multi-band identification for enhancing bearing fault detection in variable speed conditions

2020

Abstract Rolling element bearings are crucial components in rotating machinery, and avoiding unexpected breakdowns using fault detection methods is an increased demand in industry today. Variable speed conditions render a challenge for vibration-based fault diagnosis due to the non-stationary impact frequency. Computed order tracking transforms the vibration signal from time domain to the shaft-angle domain, allowing order analysis with the envelope spectrum. To enhance fault detection, the bearing resonance frequency region is isolated in the raw signal prior to order tracking. Identification of this region is not trivial but may be estimated using kurtosis-based methods reported in the li…

0209 industrial biotechnologyNoise (signal processing)Computer scienceMechanical EngineeringAerospace EngineeringCondition monitoring02 engineering and technologyFault (power engineering)01 natural sciencesNoise floorFault detection and isolationComputer Science Applications020901 industrial engineering & automationControl and Systems Engineering0103 physical sciencesSignal ProcessingCepstrumTime domain010301 acousticsOrder trackingAlgorithmCivil and Structural EngineeringMechanical Systems and Signal Processing
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A nonlinear electronic circuit mimicking the neuronal activity in presence of noise

2013

We propose a nonlinear electronic circuit simulating the neuronal activity in a noisy environment. This electronic circuit is ruled by the set of Bonhaeffer-Van der Pol equations and is excited with a white gaussian noise, that is without external deterministic stimuli. Under these conditions, our circuits reveals the Coherence Resonance signature, that is an optimum of regularity in the system response for a given noise intensity.

Coherence ResonanceStochastic resonanceneural network[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]02 engineering and technologyTopology01 natural sciencesNoise (electronics)symbols.namesakeComputer Science::Emerging TechnologiesNoise generator[NLIN.NLIN-PS]Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Control theory[ PHYS.PHYS.PHYS-BIO-PH ] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]0103 physical sciences[NLIN.NLIN-PS] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]0202 electrical engineering electronic engineering information engineering[ NLIN.NLIN-PS ] Nonlinear Sciences [physics]/Pattern Formation and Solitons [nlin.PS]Value noisestochastic resonance010306 general physicsComputingMilieux_MISCELLANEOUSPhysics[PHYS.PHYS.PHYS-BIO-PH] Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]020208 electrical & electronic engineeringShot noiseWhite noiseNoise floor[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsGaussian noisesymbolsnonlinear circuit
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Recognition of unsegmented targets invariant under transformations of intensity.

2002

Images taken in noncooperative environments do not always have targets under the same illumination conditions. There is a need for methods to detect targets independently of the illumination. We propose a technique that yields correlation peaks that are invariant under a linear intensity transformation of object intensity. The new locally adaptive contrast-invariant filter accomplishes this by combining three correlations in a nonlinear way. This method is not only intensity invariant but also has good discrimination and resistance to noise. We present simulation results for various intensity transformations with and without random and correlated noise. When the noise is high enough to thre…

Noise measurementbusiness.industryMaterials Science (miscellaneous)Salt-and-pepper noiseNoise floorIndustrial and Manufacturing EngineeringGradient noiseLight intensitysymbols.namesakeOpticsColors of noiseGaussian noisesymbolsValue noiseBusiness and International ManagementbusinessMathematicsApplied optics
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Three Different Methods for Determining the Microwave Noise Parameters of HEMT's at Decreasing Temperatures

1998

The noise characteristics of any transistor are usually represented by means of four parameters which are frequency-, bias- and temperature-dependent, similarly to the scattering parameters. The noise parameters are determined by a standard indirect procedure based on multiple noise figure measurements and appropriate data processing techniques requiring a complex instrumentation set-up and skilled operators. As an alterative way, we have shown that the noise parameters of packaged HEAMT's can be computed with very good accuracy from the analysis of a noisy circuit model derived from the scattering parameters plus a single noise figure measurement. A third way exists for the determination o…

Noise temperatureEngineeringNoiseNoise generatorNoise measurementbusiness.industryNoise spectral densityAcousticsElectronic engineeringEffective input noise temperaturebusinessNoise figureNoise floor28th European Microwave Conference, 1998
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On the determination of device noise and gain parameters

1979

The least-squares fitting of measured noise figures and gains versus input termination admittance is an established procedure to determine linear two-port noise and gain parameters. Unfortunately, the method is liable to the serious inconvenience of yielding often erroneous results or even results without physical meaning. Some criteria are suggested which allow the carrying out of measurements in such a manner as to safely avoid the above drawbacks.

Noise temperatureEngineeringbusiness.industryNoise spectral densityY-factorNoise floorNoiseBurst noiseNoise generatorControl theoryElectronic engineeringEffective input noise temperatureElectrical and Electronic EngineeringbusinessProceedings of the IEEE
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Computer-Aided Simultaneous Determination of Noise and Gain Parameters of Microwave Transistors

1979

A new method for the determination of noise and gain parameters of microwave linear two-ports (transistors) is presented. The method allows the simultaneous determination of the two parameter sets through a proper computer-aided procedure which processes the experimental data obtained from a measuring system employing noise meters and generators only. Experimental verifications carried-out on a microwave low noise transistor in S-band are reported.

PhysicsNoise temperatureNoise measurementNoise generatorNoise spectral densityHardware_INTEGRATEDCIRCUITSElectronic engineeringY-factorFlicker noiseNoise figureNoise floor9th European Microwave Conference, 1979
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Cross-Spectrum PM Noise Measurement, Thermal Energy, and Metamaterial Filters.

2017

International audience; Virtually all commercial instruments for the measurement of the oscillator PM noise make use of the crossspectrum method (arXiv:1004.5539 [physics.ins-det], 2010). High sensitivity is achieved by correlation and averaging on two equal channels, which measure the same input, and reject the background of the instrument.We show that a systematic error is always present if the thermal energy of the input power splitter is not accounted for. Such error can result in noise underestimation up to a few decibels in the lowest-noise quartz oscillators, and in an invalid measurement in the case of cryogenic oscillators. As another alarming fact, the presence of metamaterial com…

Physics[SPI.OTHER]Engineering Sciences [physics]/OtherAcoustics and UltrasonicsOscillator phase noiseNoise measurementbusiness.industryNoise spectral densityNoise figure01 natural sciencesNoise (electronics)Noise floor010309 opticsOptics0103 physical sciencesPhase noiseEffective input noise temperatureElectrical and Electronic Engineeringbusiness010301 acousticsInstrumentationIEEE transactions on ultrasonics, ferroelectrics, and frequency control
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On the stationarity of the horizontal to vertical noise spectral ratio

2015

The Horizontal to Vertical Noise Spectral Ratio (HVNSR) method is nowadays widely used to estimate the resonance frequencies of geological structures. In the HVNSR method, seismic noise is considered as a stationary stochastic process. However, especially in industrialized/urbanized area, this is a very strict assumption seldom occurred. Several sources of noise can generate non stationary and anisotropic microtremor fields. To investigate the stationarity of microtremor, we have carried out several long-term measures of seismic noise with broad-band seismic sensors, in areas where the main source of anthropogenic noise is well known. The signals acquired have been analyzed both in frequenc…

Regional geologyEnvironmental EngineeringEngineering geologySpectral densitySeismic noiseGeotechnical Engineering and Engineering GeologyNoise floorPhysics::GeophysicsNoiseSettore GEO/11 - Geofisica ApplicataTime domainMicrotremorGeophysicGeologySeismology
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Real time optical immunosensing with flow-through porous alumina membranes

2014

Through the presentation of analytical data from bioassay experiments, measured by polarimetry, we demonstrate for the first time a real time immunoassay within a free standing macroporous alumina membrane. The 200 nm nominal pore diameter of the membrane enables flow-through, thereby providing an ideal fluidic platform for the targeted delivery of analytes to bioreceptors immobilized on the pore walls, enabling fast sensing response times and the use of small sample volumes (<100 mu L). For the immunoassay, the pore walls were first coated with the functional copolymer, copoly(DMA-NAS) using a novel coupling process, before immobilization of the allergen protein, beta-lactoglobulin, by spo…

StreptavidinAnalyteOptical biosensingMaterials scienceAnalytical chemistryPorous aluminaquantum dotsForm birefringencechemistry.chemical_compoundCopolymerPolarimetryMaterials ChemistryCopolymermedicineFluidicsAnnan elektroteknik och elektronikElectrical and Electronic EngineeringPorosityInstrumentationcopolymerOther Electrical Engineering Electronic Engineering Information Engineeringmedicine.diagnostic_testQuantum dotsMetals and AlloysCondensed Matter PhysicsNoise floorSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsMembranechemistryImmunoassay
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