Search results for "Noise measurement"

showing 10 items of 38 documents

A fully-digital realtime SoC FPGA based phase noise analyzer with cross-correlation

2017

We report on a fully-digital and realtime operation of a phase noise analyzer using modern digital techniques with cross-correlation. With the advent of system on chip field-programmable gate arrays (SoC FPGAs) embedding hard core central processing unit, coprocessor and FPGA onto a single integrated circuit, the building of sensitive analysis devices for Time & Frequency research is made accessible at virtually no cost and benefits from reconfigurability. Used with high-speed digitizers we have successfully implemented a four-channel system whose preliminary results at 10 MHz shows a residual white noise floor < −185 dBrad2/Hz up to 5 MHz off the carrier, and flicker < −127 dBrad2/Hz using…

010302 applied physicsEngineeringSpectrum analyzerNoise measurementbusiness.industryReconfigurabilityIntegrated circuitWhite noise01 natural scienceslaw.inventionlaw0103 physical sciencesPhase noiseElectronic engineeringSystem on a chipField-programmable gate arraybusiness010301 acoustics2017 Joint Conference of the European Frequency and Time Forum and IEEE International Frequency Control Symposium (EFTF/IFC)
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An intelligent Proportional controller of a Seeded Batch Crystallizer

2020

Crystallization process is used in a very wide range of industrial applications. However, highly nonlinear comportment of such process and the difficulties of characterizing several phenomenological effects makes difficult to find suitable operational procedures for producing required products. In this article, we use a model-free control (MFC) for controlling the mean size of crystals produced by seeded batch cooling crystallization. The MFC method is distinguished notably in terms of the modeling strategy. Rather than developing a crystallization model within the classic population balance equation (PBE) together with the mass balance and the energy balance, as is usually done, we use a l…

0209 industrial biotechnologyNoise measurementEnergy balanceProcess (computing)Population balance equationProportional control02 engineering and technologylaw.inventionNonlinear system020901 industrial engineering & automation020401 chemical engineeringControl theorylaw0204 chemical engineeringCrystallization2020 17th International Multi-Conference on Systems, Signals &amp; Devices (SSD)
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Discrete-Time Adaptive Hysteresis Filter for Parallel Computing and Recursive Identification of Preisach Model

2018

High-precision motion control systems, for instance deployed for micro- and nano-positioning, often use the smart-material based actuators such as piezoelectric and magnetostrictive stages. Those exhibit inherent hysteresis nonlinearities which are challenging to compensate without precise hysteresis modeling. Even if a suitable hysteresis modeling approach is available, its parameter identification, correspondingly adaptation, at normal operating conditions constitute an essential task for the overall control design. This paper uses the direct recursive identification method for the Preisach hysteresis model and describes the fast parallel-computing discrete-time algorithm for an adaptive …

Condensed Matter::Materials ScienceHysteresisNoiseDiscrete time and continuous timeNoise measurementControl theoryFilter (video)Computer scienceConvergence (routing)Motion controlActuator2018 IEEE Conference on Control Technology and Applications (CCTA)
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Towards a Non-Intrusive Context-Aware Speech Quality Model

2020

Understanding how humans judge perceived speech quality while interacting through Voice over Internet Protocol (VoIP) applications in real-time is essential to build a robust and accurate speech quality prediction model. Speech quality is degraded in the presence of background noise reducing the Quality of Experience (QoE). Speech Enhancement (SE) algorithms can improve speech quality in noisy environments. The publicly available NOIZEUS speech corpus contains speech in environmental background noise babble, car, street, and train at two Signal-to-noise ratio (SNRs) 5dB and 10dB. Objective Speech Quality Metrics (OSQM) are used to monitor and measure speech quality for VoIP applications. Th…

Context modelVoice activity detectionNoise measurementComputer scienceSpeech recognitionMean opinion score020206 networking & telecommunicationsSpeech corpus02 engineering and technology01 natural sciencesBackground noiseSpeech enhancement0103 physical sciences0202 electrical engineering electronic engineering information engineeringQuality of experience010301 acoustics2020 31st Irish Signals and Systems Conference (ISSC)
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Proposal of Up-to-Date Standards on Methods of Measuring Noise Parameters of Microwave Transistors

1994

One of the most interesting topics for microrwave community is the characterization of low-noise transistors. After so many years, the Standards suggested by IEEE in 1960 are considered obsolete by the experimenters. A new methodology is here proposed as a standard. To support this proposal, an original measuring system for the complete characterization of microwave transistors in terms of noise, gain and scattering parameters from noise figure measurements only is presented.

Data processingEngineeringNoise measurementbusiness.industryTransistorElectrical engineeringNoise figureLow-noise amplifierCharacterization (materials science)law.inventionNoiselawScattering parametersElectronic engineeringbusiness44th ARFTG Conference Digest
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Comparison between complete and simplified methods for determining the microwave noise parameters of HEMTs

1994

Modem automatic noise parameter measuring systems are based on measurements of some values of F(rs ) for different values of IГs (more than four, for redundancy) realized by adjusting an admittance transformer (tuner) inserted between the noise source and the TUT mput . Such values are then manipulated by means of proper data processing techniques using eqn.( 1) [ 11. This measuring procedure is hereafter referred to as standard to point out that the old `Standards on methods of measuring noise in linear twoports´ published by the IRE Subcommittee on noise in 1960 is considered obsolete by all the experimenters.

Data processingEngineeringSimplified methodsNoise measurementbusiness.industrySystem of measurementTunerNoise figurelaw.inventionlawElectronic engineeringTransformerbusinessMicrowave43rd ARFTG Conference Digest
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Characterization of electromagnetic noise suppression sheet for aerospace applications

2016

Electromagnetic noise suppression sheets based on absorber materials can be an interesting solution to reduce or suppress noise emissions at a high-frequency region that may cause complex EMI problems. These materials usually are characterized by their permeability but their performance also depend on other factors such as dimension, geometry, thickness or noise source kind. Three experimental methods are proposed in order to characterize absorber sheets in different kind of applications taking into account the last factors. These setups make it possible to test several samples with different characteristics and to analyse the absorption capacity in applications with transmission line probl…

EngineeringNoise measurementbusiness.industryEMITransmission lineAcousticsAttenuationElectronic engineeringAerospacebusinessElectromagnetic noiseElectromagnetic interferenceElectronic circuit2016 ESA Workshop on Aerospace EMC (Aerospace EMC)
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Measurement Issues for the Characterization of Medium Voltage Grids Communications

2013

This paper is focused on the measurement issues and procedures for the characterization of medium voltage grids for narrowband power line communications (NB-PLCs), in the perspective of the use and integration of such technology into smart grids communication networks. The fundamentals are given for the characterization of the PLC channel, by means of noise and attenuation measurements. Suitable procedures are also developed for the characterization and modeling of the power system components in the frequency range of interest. Furthermore, the complete model of the PLC system is experimentally validated in a real case study.

EngineeringNoise measurementbusiness.industrycommunication equipmentElectrical engineeringNoise (electronics)Attenuation measurementPower (physics)power system communicationElectric power systemNarrowbandSmart gridtesting communication systemspower system measurements.Electronic engineeringElectrical and Electronic EngineeringbusinessAttenuation measurement communication equipment testing communication systems power system communication power system measurementsSettore ING-INF/07 - Misure Elettriche E ElettronicheInstrumentationCommunication channelVoltageIEEE Transactions on Instrumentation and Measurement
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Full characterization of low-noise HEMTs using only noise figure measurements

1993

A method for the complete characterization of microwave transistors in terms of noise, gain and scattering parameters using a computer-controlled noise figure measuring set-up only is presented. Selection of the optimum measuring conditions, all the steps of the experimental procedure, the data collecting and processing to derive all the parameters, are fully driven by an original (unpublished) software, even without the presence of an (unskilled) operator. Results are presented about the complete characterization of a series of ten pseudomorphicHEMTs in the 8-16 GHz range. The S-parameters are also compared with those measured by an ANA.

EngineeringNoiseNoise measurementNoise-figure meterbusiness.industryAcousticsScattering parametersRange (statistics)Electronic engineeringY-factorNoise figurebusinessLow-noise amplifier41st ARFTG Conference Digest
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Accounting for Input Noise in Gaussian Process Parameter Retrieval

2020

Gaussian processes (GPs) are a class of Kernel methods that have shown to be very useful in geoscience and remote sensing applications for parameter retrieval, model inversion, and emulation. They are widely used because they are simple, flexible, and provide accurate estimates. GPs are based on a Bayesian statistical framework which provides a posterior probability function for each estimation. Therefore, besides the usual prediction (given in this case by the mean function), GPs come equipped with the possibility to obtain a predictive variance (i.e., error bars, confidence intervals) for each prediction. Unfortunately, the GP formulation usually assumes that there is no noise in the inpu…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer sciencePosterior probability0211 other engineering and technologiesMachine Learning (stat.ML)02 engineering and technologyMachine Learning (cs.LG)symbols.namesakeStatistics - Machine LearningElectrical and Electronic EngineeringGaussian process021101 geological & geomatics engineeringPropagation of uncertaintyNoise measurementbusiness.industryFunction (mathematics)Geotechnical Engineering and Engineering GeologySea surface temperatureNoiseKernel methodsymbolsGlobal Positioning SystemErrors-in-variables modelsbusinessAlgorithmIEEE Geoscience and Remote Sensing Letters
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