Search results for "Discrete-time signal"

showing 5 items of 5 documents

On Multiresolution Transforms Based on Weighted-Least Squares

2014

This work is devoted to construct Harten’s multiresolution transforms using Weighted-Least squares for different discretizations. We establish a relation between the filters obtained using some decimation operators. Some properties and examples of filters are presented.

Discrete-time signalWeight functionDecimationRelation (database)Applied mathematicsConstruct (python library)Mathematics
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The measuring method for tests of horizontal two-phase gas–liquid flows, using optical and capacitance tomography

2009

Abstract The paper presents a measurement method in testing horizontal two-phase gas–liquid flows. It also describes the test stand including two tomography measurement systems. The optical and capacitance tomography systems can be used for measurements at the same time. It is necessary to apply two tomography systems working at the same time because of complexity of phenomena occurring in two-phase flows, and a wide range of applicability of the presented method. The optical tomography system in which a tested object is illuminated from five projections. The measurement of luminous intensity is changed into a discrete signal (0 or 1) in the detectors including 64 optical sensors. Next, the…

Nuclear and High Energy PhysicsEngineeringmedicine.diagnostic_testbusiness.industryMechanical EngineeringSystem of measurementDetectorPhase (waves)Iterative reconstructionCapacitanceDiscrete-time signalOpticsNuclear Energy and EngineeringmedicineGeneral Materials ScienceTomographyOptical tomographySafety Risk Reliability and QualitybusinessWaste Management and DisposalNuclear Engineering and Design
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Discrete Time Signal Processing Framework with Support Vector Machines

2007

Digital signal processing (DSP) of time series using SVM has been addressed in the literature with a straightforward application of the SVM kernel regression, but the assumption of independently distributed samples in regression models is not fulfilled by a time-series problem. Therefore, a new branch of SVM algorithms has to be developed for the advantageous application of SVM concepts when we process data with underlying time-series structure. In this chapter, we summarize our past, present, and future proposal for the SVM-DSP frame-work, which consists of several principles for creating linear and nonlinear SVM algorithms devoted to DSP problems. First, the statement of linear signal mod…

Relevance vector machineSupport vector machineMultidimensional signal processingDiscrete-time signalComputer Science::SoundComputer sciencebusiness.industryKernel regressionbusinessSignalAlgorithmDigital signal processingReproducing kernel Hilbert space
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Circuits and excitations to enable Brownian token-based computing with skyrmions

2021

Brownian computing exploits thermal motion of discrete signal carriers (tokens) for computations. In this paper we address two major challenges that hinder competitive realizations of circuits and application of Brownian token-based computing in actual devices for instance based on magnetic skyrmions. To overcome the problem that crossings generate for the fabrication of circuits, we design a crossing-free layout for a composite half-adder module. This layout greatly simplifies experimental implementations as wire crossings are effectively avoided. Additionally, our design is shorter to speed up computations compared to conventional designs. To address the key issue of slow computation base…

SpeedupCondensed Matter - Mesoscale and Nanoscale PhysicsPhysics and Astronomy (miscellaneous)Computer science530 PhysicsComputationFOS: Physical sciencesTopologySecurity token530 PhysikPower (physics)Discrete-time signalMesoscale and Nanoscale Physics (cond-mat.mes-hall)TorqueBrownian motionElectronic circuit
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Regularization Preserving Localization of Close Edges

2007

International audience; In this letter, we address the problem of the influence of neighbor edges and their effect on the edge delocalization while extracting a neighbor contour by a derivative approach. The properties to be fulfilled by the regularization operators to minimize or suppress this side effect are deduced, and the best detectors are pointed out. The study is carried out in 1-D for discrete signal. We show that among the derivative filters, one of them can correctly detect our model edges without being influenced by a neighboring transition, whatever their separation distance is and their respective amplitude is. A model of contour and close transitions is presented and used through…

edge localization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingneighbor edge[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyEdge detectionDiscrete-time signal[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringRegularization operatorCanny edge detectorEdge detectionElectrical and Electronic EngineeringMathematicsedge modelbusiness.industryApplied MathematicsDetector020207 software engineeringPattern recognitionregularization filterDeriche edge detectorAmplitude[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Regularization (physics)Signal Processing020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingAlgorithmIEEE Signal Processing Letters
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