Search results for "Filters"

showing 10 items of 92 documents

LabVIEW modeling and simulation, of the digital filters

2015

In order to study digital filters using virtual instrumentation a simulation program specifically designed for this purpose has been developed. To implement this program means to use the following facilities: studying digital Butterworth filters, Cebyshev, Bessel and Median and change their parameters: bandwidth, order, rank and slope; possibility of changing the input parameters: amplitude, offset and frequency; overlay over the input signal, to one of the types of noise such as white noise, Gaussian white noise and Poisson noise; choosing a type of digital filters: low pass, high pass, band-pass and band stop; waveforms graphical representation of the input and output signals; graphical r…

Signal processingComputer scienceShot noiseElectronic engineeringPrototype filterWhite noiseNetwork synthesis filtersm-derived filterLinear filterAudio filter2015 13th International Conference on Engineering of Modern Electric Systems (EMES)
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Energy balance in single exposure multispectral sensors

2013

International audience; Recent simulations of multispectral sensors are based on a simple Gaussian model, which includes filters transmittance and substrate absorption. In this paper we want to make the distinction between these two layers. We discuss the balance of energy by channel in multispectral solid state sensors and propose an updated simple Gaussian model to simulate multispectral sensors. Results are based on simulation of typical sensor configurations.

SiliconMaterials science[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingoptical sensorsChannel (digital image)Equations[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingMultispectral imageComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhotodetectorGaussian processes02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciences010309 opticssymbols.namesakeMathematical model[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringTransmittanceComputer Science::Networking and Internet ArchitectureSpectral and color filter arraysoptical filtersOptical filterGaussian processPhysics::Atmospheric and Oceanic Physics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingRemote sensingtransmittance filterSubstratesSensorsGaussian modelmultispectral solid state sensorCamerasenergy balancespectral analysisConvolutionexposure multispectral sensorComputer Science::Computer Vision and Pattern Recognitionsubstrate absorptionlight absorptionlight sensorsymbolstransmittance filters020201 artificial intelligence & image processingGaussian network model[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEnergy (signal processing)
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State Estimation of a Nonlinear Unmanned Aerial Vehicle Model using an Extended Kalman Filter

2008

An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity vector at the same time for a non conventional unmanned aircraft. The proposed observer uses few measurements, obtained by means of either conventional simple air data sensors or a low cost GPS. To cope with the low rate of the GPS with respect to the other sensors, the EKF algorithm has been modified to allow for a dual rate measurement model. State propagation is obtained by means of an accurate six degrees of freedom nonlinear model of the aircraft dynamics. To obtain joint estimation of state and disturbance, wind velocity components are included in the set of the state variables. Both stoc…

State variableEngineeringObserver (quantum physics)business.industrySettore ING-IND/03 - Meccanica Del VoloWind speedExtended Kalman filterNonlinear systemSettore ICAR/05 - TrasportiControl theoryGlobal Positioning SystemSix degrees of freedomState observerbusinessAircraft modelsExtended Kalman filtersPosition controlRemotely operated vehiclesSensorsState estimationTurbulence models15th AIAA International Space Planes and Hypersonic Systems and Technologies Conference
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Learning non-linear time-scales with kernel -filters

2009

A family of kernel methods, based on the @c-filter structure, is presented for non-linear system identification and time series prediction. The kernel trick allows us to develop the natural non-linear extension of the (linear) support vector machine (SVM) @c-filter [G. Camps-Valls, M. Martinez-Ramon, J.L. Rojo-Alvarez, E. Soria-Olivas, Robust @c-filter using support vector machines, Neurocomput. J. 62(12) (2004) 493-499.], but this approach yields a rigid system model without non-linear cross relation between time-scales. Several functional analysis properties allow us to develop a full, principled family of kernel @c-filters. The improved performance in several application examples suggest…

TelecomunicacionesSupport vector machinesbusiness.industryCognitive NeuroscienceNonlinear System IdentificationPattern recognitionKernel principal component analysisComputer Science ApplicationsKernel methodMercer's KernelArtificial IntelligenceVariable kernel density estimationString kernelKernel embedding of distributionsPolynomial kernelRadial basis function kernelGamma-FiltersArtificial intelligenceTree kernelbusinessMathematicsNeurocomputing
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Sensor Fusion Combining 3-D and 2-D for Depth Data Enhancement

2012

Time-of-Flight (ToF) cameras are known to be cost-efficient 3-D sensing systems capable of providing full scene depth information at a high frame rate. Among many other advantages, ToF cameras are able to provide distance information regardless of the illumination conditions and with no texture dependency, which makes them very suitable for computer vision and robotic applications where reliable distance measurements are required. However, the resolution of the given depth maps is far below the resolution given by standard 2-D video cameras which, indeed, restricts the use of ToF cameras in real applications such as those for safety and surveillance. In this thesis, we therefore investigate…

Time-of-Flight: Computer science [C05] [Engineering computing & technology]Data MatchingSpatio-temporal data enhancementDepth imagesSensor FusionComputer VisionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMultimodal SensorsAdaptive Filters: Sciences informatiques [C05] [Ingénierie informatique & technologie]
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Efficient Design of Waveguide Manifold Multiplexers Based on Low-Order EM Distributed Models

2015

In this paper, a new systematic technique to design manifold-coupled multiplexers in waveguide technology is proposed. The new technique uses generalized low-order electromagnetic (EM) distributed models, which constitute a half-way point between the fast, but imprecise, analytical models, and the more accurate, but costly, full-wave EM models. The method can be applied to contiguous and noncontiguous channel multiplexers, in both E-plane or H-plane configurations. This paper covers the complete design procedure for manifold multiplexers, starting from the required specifications and finishing with the physical dimensions. After explaining the general design technique for multiplexers with …

Transmission linesEngineeringResonator filtersMultiplexing equipmentWaveguide (optics)MultiplexingMultiplexerChannel filtersResonatorH-plane configurationsTEORIA DE LA SEÑAL Y COMUNICACIONESElectronic engineeringWaveguide filtersElectrical and Electronic EngineeringWidebandManifoldsComputer Science::Information TheoryWaveguide filterRadiationbusiness.industryBandwidth (signal processing)Circular waveguidesCondensed Matter PhysicsRectangular waveguidesElectric power transmissionCoupled circuitsbusinessE-plane configurationsIEEE Transactions on Microwave Theory and Techniques
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EM Based Synthesis and Design of Bandpass Waveguide Filters Including Manufacturing Effects with FEST3D

2011

This article aims at the industry interest on automated design tools that are able to take into account manufacturing effects. First, an efficient design strategy for bandpass waveguide filters including the rounded corners arising from low-cost manufacturing procedures is presented. This technique is based on a recent enhanced prototype and synthesis methodology able to consider the real structure parts. Using the resulting electromagnetic (EM)-based synthesis technique, an excellent structure is extracted, which requires, at most, only a slight final EM optimization. Second, this article presents analytical expressions providing error estimates for the different filter performances in ter…

Waveguide filterEngineeringTolerance analysisbusiness.industryElectrical engineeringComputer-aided designBandpass filterscomputer.software_genreComputer Graphics and Computer-Aided DesignComputer Science ApplicationsManufacturingBand-pass filterWork (electrical)Rounded cornersTEORIA DE LA SEÑAL Y COMUNICACIONESElectronic engineeringComputer Aided DesignTolerance analysisElectrical and Electronic EngineeringMicrowave filtersbusinesscomputer
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Filters for X-Ray Detectors on Space Missions

2022

Thin filters and gas-tight windows are used in space to protect sensitive X-ray detectors from out-of-band electromagnetic radiation, low-energy particles, and molecular contamination. Though very thin and made of light materials, filters are not fully transparent to X-rays. For this reason, they ultimately define the detector quantum efficiency at low energies. In this chapter, we initially provide a brief overview of filter materials and specific designs adopted on space experiments with main focus on detectors operating at the focal plane of grazing incidence X-ray telescopes. We then provide a series of inputs driving the design and development of filters for high-energy astrophysics sp…

X-ray filters X-ray detectors Thermal filters Optical blocking filters Filter modeling Filter characterization Filter calibration Space missionsSettore FIS/05 - Astronomia E Astrofisica
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GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence

2017

On August 14, 2017 at 10 30:43 UTC, the Advanced Virgo detector and the two Advanced LIGO detectors coherently observed a transient gravitational-wave signal produced by the coalescence of two stellar mass black holes, with a false-alarm rate of 1 in 27 000 years. The signal was observed with a three-detector network matched-filter signal-to-noise ratio of 18. The inferred masses of the initial black holes are 30.5-3.0+5.7M and 25.3-4.2+2.8M (at the 90% credible level). The luminosity distance of the source is 540-210+130 Mpc, corresponding to a redshift of z=0.11-0.04+0.03. A network of three detectors improves the sky localization of the source, reducing the area of the 90% credible regio…

[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph]AstronomyCredible regionsGeneral Physics and Astronomyadvanced ligoADVANCED LIGOAstrophysicsdetector: network01 natural sciencesGeneral Relativity and Quantum CosmologylocalizationVIRGO detectorFilter signalsGW170814TOOLLIGOInterferometerGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)010303 astronomy & astrophysicsQCchoiceQBHigh Energy Astrophysical Phenomena (astro-ph.HE)PhysicsSignal to noise ratioSettore FIS/01 - Fisica SperimentaleGravitational effectstoolFalse alarm rateCHOICEAntenna responseGravitational-wave signalsDetector networks[PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]Astrophysics - High Energy Astrophysical Phenomenagravitational radiation: polarizationSignal processingAstrophysics::High Energy Astrophysical Phenomenablack hole: binary: coalescenceFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)Astrophysics::Cosmology and Extragalactic Astrophysicsgravitational radiation: direct detectionGravitational-wave astronomy[ PHYS.GRQC ] Physics [physics]/General Relativity and Quantum Cosmology [gr-qc]General Relativity and Quantum CosmologyPhysics and Astronomy (all)Binary black hole0103 physical sciencesGW151226ddc:530KAGRASTFCGw150914GW170814 Virgo LIGO010308 nuclear & particles physicsGravitational wavePhysiqueVirgogravitational radiationAstronomyRCUKMatched filtersblack hole: massStarsLIGOgravitational radiation detectorBlack holeradiationVIRGOPhysics and AstronomyTesting Relativistic Gravitygravitationgravitational radiation: emissionStellar-mass black holesRADIATIONStellar black holeHigh Energy Physics::ExperimentAntennasDewey Decimal Classification::500 | Naturwissenschaften::530 | Physik[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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PROCEDE DE PRE-DISTORSION NUMERIQUE D’UN SIGNAL ET REPETEUR DE TELECOMMUNICATION INTEGRANT UN FILTRE A REPONSE IMPULSIONNELLE FINIE POUR METTRE EN OE…

2013

L'invention concerne un procédé de pré-distorsion numérique d'un signal de télécommunication traité dans un circuit électronique 100 intégrant un filtre à réponse impulsionnelle finie 321. Ce procédé consiste successivement: - à identifier, à la sortie du circuit 100, les paramètres de distorsions de phase et/ou d'amplitude du signal en fonction de la fréquence, - à partir des susdits paramètres de distorsions relevés, à générer, par un algorithme basé sur une interpolation, des coefficients permettant d'effectuer dans ledit filtre 321, des prédistorsions du signal numérique destinées à engendrer une précorrection des susdites distorsions, - à transférer lesdits coefficients de pré-distorsi…

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR][SPI.OTHER]Engineering Sciences [physics]/Other[INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR][ SPI.OTHER ] Engineering Sciences [physics]/Other[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]Prédistorsion numérique[ INFO.INFO-ES ] Computer Science [cs]/Embedded SystemsRépéteurs[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing[INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS][ INFO.INFO-SI ] Computer Science [cs]/Social and Information Networks [cs.SI][SPI.OTHER] Engineering Sciences [physics]/Other[INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI]Spline[SPI.TRON] Engineering Sciences [physics]/Electronics[INFO.INFO-ES] Computer Science [cs]/Embedded Systems[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ INFO.INFO-MS ] Computer Science [cs]/Mathematical Software [cs.MS][INFO.INFO-MS] Computer Science [cs]/Mathematical Software [cs.MS]FIR filters[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR][SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingFpga
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