Search results for "digital signal"

showing 10 items of 70 documents

Narrowband digital filtering with random frequency hopping spread spectrum

2014

International audience; In digital signal filtering, channels with narrow bandwidth need high order digital filter to be selected without introducing modulation errors. If a carrier randomly switches from a channel to another as in military applications, or some civilian communication standards, it is necessary to detect and estimate these jumps before transposing and analyzing signals in the baseband. This paper presents a real time solution to filter narrow band signals with random frequency hopping spread spectrum. The proposed method is based on three steps. Firstly, the detection of Signal Frequency Hopping (SFH) using the Fast Fourier Transform (FFT), an algorithm to estimate the Domi…

Engineering[ INFO ] Computer Science [cs]Finite impulse responsebusiness.industryLow-pass filter020206 networking & telecommunicationsGSM modulation02 engineering and technologyFilter (signal processing)Frequency hoppingSpread spectrumFPG[SPI]Engineering Sciences [physics][ SPI ] Engineering Sciences [physics]0202 electrical engineering electronic engineering information engineeringBasebandElectronic engineeringFrequency-hopping spread spectrumDigital signal[INFO]Computer Science [cs]High selectivitybusinessnarrow band filteringDigital filter
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A Unified SVM Framework for Signal Estimation

2013

This paper presents a unified framework to tackle estimation problems in Digital Signal Processing (DSP) using Support Vector Machines (SVMs). The use of SVMs in estimation problems has been traditionally limited to its mere use as a black-box model. Noting such limitations in the literature, we take advantage of several properties of Mercer's kernels and functional analysis to develop a family of SVM methods for estimation in DSP. Three types of signal model equations are analyzed. First, when a specific time-signal structure is assumed to model the underlying system that generated the data, the linear signal model (so called Primal Signal Model formulation) is first stated and analyzed. T…

FOS: Computer and information sciencesbusiness.industryNoise (signal processing)Computer scienceApplied MathematicsSpectral density estimationArray processingPattern recognitionMachine Learning (stat.ML)Statistics - ApplicationsSupport vector machineKernel (linear algebra)Kernel methodComputational Theory and MathematicsStatistics - Machine LearningArtificial IntelligenceSignal ProcessingApplications (stat.AP)Computer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringStatistics Probability and UncertaintybusinessDigital signal processingReproducing kernel Hilbert space
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Tratamiento digital de señales. Problemas y ejercicios resueltos

2003

El documento es un libro de problemas y ejercicios de Tratamiento Digital de Señales. Este libro publicado por Prentice-Hall en 2003, se ofrece actualmente como recurso de acceso abierto tras su descatalogación. En él se ofrecen ejemplos de problemas y ejercicios resueltos de Tratamiento Digital de Señales, a los que previamente se introduce la base teórica suficiente como para seguir el desarrollo del texto. El contenido es el siguiente: Señales y sistemas en tiempo discreto; Análisis frecuencial de señales y sistemas; Transformada z; Realización de sistemas en tiempo discreto; Efectos de longitud de palabra finita; Diseño de filtros digitales; Sistemas adaptativos. That document is a book…

Filtros DigitalesEfecto de longitud de palabra finitaSistemas adaptativosTratamiento Digital de SeñalesPDSTransformada ZDigital Signal ProcessingProcesado Digital de SeñalesDSPTDSSeñales y sistemas de tiempo discreto
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DSP Implementation for Measuring the Loop Gain Frequency Response of Digitally Controlled Power Converters

2012

This paper presents a method for measuring the loop gain frequency response of digitally controlled power converters, without the need of any expensive measurement equipment such as frequency response analyzers (FRA). The method is based on the traditional perturbation and measurement scheme. The perturbation is internally synthesized by the DSP and applied as pulse-width modulation to the converter. The loop input and output data are sent to a PC via universal serial bus, which performs online the DFT of sent data. The perturbation amplitude is varied with frequency to improve signal-to-noise ratio of measurements. The number of cycles used to perform discrete Fourier transform calculation…

Frequency responseSerial communicationGain measurementbusiness.industryComputer scienceRoundingDead-beat controlConvertersDiscrete Fourier transformAmplitudeModulationControl theoryElectronic engineeringElectrical and Electronic EngineeringbusinessDigital signal processingLoop gainIEEE Transactions on Power Electronics
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Geoacoustic Inversion with Drifting Buoys: Enverse 1997–98 Experiments (Marettimo Is.)

2000

Acoustic buoys were developed to allow the rapid determination of range-dependent bottom properties in a shallow water environment from the inversion of propagation measurements. The main features of the buoys are the large dynamic range, digital signal conditioning unit, global positioning system receiver and reliable radio data link. The buoys drift away from a broadband source receiving its pings at known positions. Single hydrophone, matched waveform, inversion techniques are applied to the received signals to invert for geoacoustic parameters. Eight prototypes were tested over the southern continental shelf off the island of Marettimo (Sicily) during the EnVerse 97 sea trials. Calibrat…

Ground truthWaves and shallow watergeographygeography.geographical_feature_categoryHydrophoneContinental shelfAcousticsSea trialDigital signal conditioningWaveformInversion (meteorology)GeodesyGeology
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Pathological voice analysis via digital signal processing

2015

The interest in pathological voice analysis for specific neurological diseases is growing up aiming to offer more Health-care tele monitoring services since new high performing electronic devices are available for the end-user. In this article we show some parameters that can be digitally extracted and analyzed from pathological voices, in order to find a distinctive sign of the Parkinson disease. As a result, we will show a parameter that gives some information about the Parkinson disease characterization, particularly for male patients. We will also discuss about the needed computational cost related to parameters extraction and elaboration, aiming to target a possible tough yet portable …

Hardware architecturebusiness.industryComputer scienceTele monitoringPathological voiceMutual informationSettore ING-INF/01 - ElettronicaIndustrial and Manufacturing EngineeringVoice analysisMutual informationParkinson diseaseHuman–computer interactionMale patientWavelet transformbusinessDigital signal processing
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Inverse Scattering Solutions with Applications to Electromagnetic Signal Processing

2009

When a signal is recorded that has been physically generated by some scattering process (the interaction of electromagnetic, acoustic or elastic waves with inhomogeneous materials, for example), the ‘standard model’ for the signal (i.e. information content convolved with a characteristic Impulse Response Function) is usually based on a single scattering approximation. An additive noise term is introduced into the model to take into account a range of non-deterministic factors including multiple scattering that, along with electronic noise and other background noise sources, is assumed to be relatively weak. Thus, the standard model is based on a ‘weak field condition’ and the inverse scatte…

Inverse ScatteringMultiple ScatteringElectromagnetismSide-band SignalsAutocorrelationDigital Signal ProcessingSignal Processing
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Digital signal processing for relaxation data conversion

2005

Abstract The origins, philosophy and basic practical aspects are considered for an approach of digital data transformations for broadband dielectric relaxation spectroscopy and other relaxation experiments carrying out direct and inverse integral transforms with kernels depending on the ratio or product of arguments. The approach is based on the concept that the mentioned data transformations represent a filtering problem on a logarithmic scale allowing one to implement the transforms by digital functional filters with the logarithmic sampling. As an example, digital Kramers–Kronig transformers are considered.

Logarithmic scaleSignal processingLogarithmComputer sciencebusiness.industryDigital datacomputer.file_formatCondensed Matter PhysicsIntegral transformElectronic Optical and Magnetic MaterialsData conversionMaterials ChemistryCeramics and CompositesFiltering problembusinessAlgorithmcomputerDigital signal processingJournal of Non-Crystalline Solids
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Design and Low-Cost Implementation of an Optimally Robust Reduced-Order Rotor Flux Observer for Induction Motor Control

2007

The aim of this paper is to design and analyze reduced-order observers of the rotor flux of induction motors. The design is carried out in two steps. In the first step, a boundary of the stability region of the observation error is obtained corresponding to a chosen Lyapunov function. In the second step, the boundary is translated into a performance index that is minimized with respect to stator and rotor resistance variations and differences of voltages supplying the motor and those supplying the observer in order to obtain the largest stability region. Implementation of the observer on a low-cost fixed-point digital signal processor using look-up tables is described. Experimental results …

Lyapunov functionDigital signal processorEngineeringStatorbusiness.industryControl engineeringlaw.inventionsymbols.namesakeMicrocontrollerSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryRobustness (computer science)lawLookup tablesymbolsInduction motors low-cost implementation rotor flux observers.Electrical and Electronic EngineeringbusinessInduction motorMachine controlIEEE Transactions on Industrial Electronics
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Energy resolution and throughput of a new real time digital pulse processing system for x-ray and gamma ray semiconductor detectors

2013

New generation spectroscopy systems have advanced towards digital pulse processing (DPP) approaches. DPP systems, based on direct digitizing and processing of detector signals, have recently been favoured over analog pulse processing electronics, ensuring higher flexibility, stability, lower dead time, higher throughput and better spectroscopic performance. In this work, we present the performance of a new real time DPP system for X-ray and gamma ray semiconductor detectors. The system is based on a commercial digitizer equipped with a custom DPP firmware, developed by our group, for on-line pulse shape and height analysis. X-ray and gamma ray spectra measurements with cadmium telluride (Cd…

Materials scienceAnalogue electronicsFirmwarebusiness.industryPreamplifierSettore FIS/01 - Fisica SperimentaleDetectorElectrical engineeringX-ray detectorsDead timecomputer.software_genreSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Semiconductor detectorDigital signal processing (DSP)OptoelectronicsElectronicsbusinessInstrumentationThroughput (business)computerMathematical PhysicsJournal of Instrumentation
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