Search results for "Signal"

showing 10 items of 6924 documents

Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network

2021

Abstract We investigate the constructive role of an external noise signal, in the form of a low-rate Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in maintaining for a long time or even recovering a memory trace (engram) of the image without its direct renewal (or rewriting). In particular, this unique dynamic property is demonstrated in a single-layer spiking neural network consisting of simple integrate-and-fire neurons and memristive synaptic weights. This is carried out by preserving and even fine-tuning the conductance values of memristors in terms of dynamic plasticity, specifically spike-timing-dependent plasticity-type, driven by overlappi…

Spiking neural networkQuantitative Biology::Neurons and CognitionComputer scienceNoise (signal processing)General MathematicsApplied MathematicsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsEngramMemristorStochastic processeSignalNeural networklaw.inventionNoise induced phenomenaNeuromorphic engineeringlawVoltage spikeMemristive devicesState (computer science)Biological system
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Frequency spike encoding using Gabor-like receptive fields

2014

Abstract Spiking Neural Networks (SNN) are a popular field of study. For a proper development of SNN algorithms and applications, special encoding methods are required. Signal encoding is the first step since signals need to be converted into spike trains as the primary input to an SNN. We present an efficient frequency encoding system using receptive fields. The proposed encoding is versatile and it can provide simple image transforms like edge detection, spot detection or removal, or Gabor-like filtering. The proposed encoding can be used in many application areas as image processing and signal processing for detection and classification.

Spiking neural networkSignal processingReceptive fieldbusiness.industryComputer scienceEncoding (memory)Spike (software development)Image processingComputer visionArtificial intelligencebusinessEdge detectionField (computer science)IFAC Proceedings Volumes
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Biorthogonal Wavelet Transforms Originating from Splines

2015

This chapter describes how to design families of biorthogonal wavelet transforms of signals and respective biorthogonal Wavelet bases in the signal space using spline-based prediction filters. Although the designed Wavelets originate from splines, they are not splines themselves. The design and implementation of the biorthogonal Wavelet transforms is done using the Lifting scheme. Most of the filters participating in the expansion of signals over the presented bases have infinite impulse responses and are implemented by recursive filtering whose computational cost is competitive with the FIR filtering cost. Properties of the designed Wavelets, such as symmetry, flat spectra, good time domai…

Spline (mathematics)Signal processingWaveletLifting schemeComputer scienceMathematicsofComputing_NUMERICALANALYSISTime domainImpulse (physics)Infinite impulse responseAlgorithmBiorthogonal wavelet
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Genetic contribution in sporadic thoracic aortic aneurysm? Emerging evidence of genetic variants related to TLR-4-mediated signaling pathway as risk …

2015

Abstract Sporadic thoracic aortic aneurysms (TAA) and dissections are one of the major causes of morbidity and mortality worldwide, especially in those older than 65 years. The presentation of TAA is varied and often silent. Thus, sporadic TAA detection is often fortuitous, with identification occurring during a routine physical examination or during an unrelated medical evaluation. Once suspected, confirmation by imaging clinical approaches is needed to allow the choose of the unique treatments for TAA, namely the surgery procedures, including elective surgery or endovascular repair before the onset of catastrophic and fatal complications, such as dissection or rupture. At present, there a…

Sporadic thoracic aortic aneurysms (TAA) and dissections genetic variants biomarkers targets for new personalized therapeutic treatments.Pathologymedicine.medical_specialtyPhysiologyDiseaseBioinformaticscomplex mixturesThoracic aortic aneurysmRisk Factorsparasitic diseasesGenetic variationMedicineHumansGenetic Predisposition to DiseaseElective surgeryPharmacologyAortic Aneurysm Thoracicbusiness.industryGenetic variantsGenetic VariationMedical evaluationmedicine.diseasedigestive system diseasesToll-Like Receptor 4DissectionMolecular MedicineSignal transductionbusinessSignal TransductionVascular pharmacology
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Signal detection for spread spectrum communication systems with gradient algorithm

2012

Retrieval process of original symbols of a spread spectrum based communication system is tried to be improved by Gradient Algorithm (GA) and Blind Source Separation (BSS) principles. Two simple schemes, based on two energy functions are presented. Time correlation properties of the channel are used as advantages in developing the filter coefficients for the receiver. Direct Sequence - Code Division Multiple Access (DS-CDMA) technique based system setup is used for algorithm testing purposes. This is identified as one of the most stable spread spectrum communication technique where most of the technologies developed for that are highly compatible with High Speed Packet Access (HSPA) transmis…

Spread spectrumHigh Speed Packet AccessTransmission (telecommunications)Computer scienceCode division multiple accessDirect-sequence spread spectrumCommunications systemChipAlgorithmBlind signal separation2012 IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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Digital background calibration algorithm and its FPGA implementation for timing mismatch correction of time-interleaved ADC

2019

Sample time error can degrade the performance of time-interleaved analog to digital converters (TIADCs). A fully digital background algorithm is presented in this paper to estimate and correct the timing mismatch errors between four interleaved channels, together with its hardware implementation. The proposed algorithm provides low computation burden and high performance. It is based on the simplified representation of the coefficients of the Lagrange interpolator. Simulation results show that it can suppress error tones in all of the Nyquist band. Results show that, for a four-channel TIADC with 10-bit resolution, the proposed algorithm improves the signal to noise and distortion ratio (SN…

Spurious-free dynamic rangeEnginyeria elèctricaComputer scienceDynamic rangeComputation020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologySurfaces Coatings and FilmsData acquisitionHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringElectronic engineeringNyquist–Shannon sampling theoremCircuits integratsSystem timeField-programmable gate arrayCommunication channel
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Finite-time stability analysis and stabilization for linear discrete-time system with time-varying delay

2014

Abstract The problem of finite-time stability for linear discrete-time systems with time-varying delay is studied in this paper. In order to deal with the time delay, the original system is firstly transformed into two interconnected subsystems. By constructing a delay-dependent Lyapunov–Krasovskii functional and using a two-term approximation of the time-varying delay, sufficient conditions of finite-time stability are derived and expressed in terms of linear matrix inequalities (LMIs). The derived stability conditions can be applied into analyzing the finite-time stability and deriving the maximally tolerable delay. Compared with the existing results on finite-time stability, the derived …

Stability conditionsDiscrete time systemComputer Networks and CommunicationsControl and Systems EngineeringControl theoryApplied MathematicsSignal ProcessingLinear matrixFinite timeControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsStability (probability)MathematicsJournal of the Franklin Institute
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Search for WH production with a light Higgs boson decaying to prompt electron-jets in proton–proton collisions at \(\sqrt {s}=7\)  TeV with the ATLAS…

2013

A search is performed for WH production with a light Higgs boson decaying to hidden-sector particles resulting in clusters of collimated electrons, known as electron-jets. The search is performed with 2.04 fb[superscript −1] of data collected in 2011 with the ATLAS detector at the Large Hadron Collider in proton–proton collisions at √s=7 TeV . One event satisfying the signal selection criteria is observed, which is consistent with the expected background rate. Limits on the product of the WH production cross section and the branching ratio of a Higgs boson decaying to prompt electron-jets are calculated as a function of a Higgs boson mass in the range from 100 to 140 GeV.

Standard ModelAtlas detectorGeneral Physics and AstronomyElectron7. Clean energy01 natural sciencesSignal selectionHigh Energy Physics - ExperimentLepton-JetsHigh Energy Physics - Experiment (hep-ex)Naturvetenskap[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Nuclear ExperimentQCPhysicsddc:539Large Hadron ColliderSettore FIS/01 - Fisica SperimentaleSignal selectionBranching ratioATLASLarge Hadron ColliderComputingMethodologies_DOCUMENTANDTEXTPROCESSINGHiggs bosonLHCNatural SciencesParticle Physics - ExperimentParticle physics530 PhysicsCiências Naturais::Ciências FísicasHiggs bosonAstrophysics::High Energy Astrophysical Phenomena:Ciências Físicas [Ciências Naturais]FOS: Physical sciencesddc:500.2530Collimated lightNuclear physics0103 physical sciencesddc:530High Energy Physics010306 general physicsW BOSONScience & TechnologyProton proton collisions010308 nuclear & particles physicsBranching fractionATLAS detectorsHigh Energy Physics::PhenomenologyFísicaMassEnergiesHidden sectorProduction cross sectionHiggs boson; electron-jets; proton–proton collisions; ATLAS detectorHADRON-HADRON COLLISIONSExperimental High Energy PhysicsHigh Energy Physics::Experiment
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Design of an image processing integrated circuit for real time edge detection

2003

Presents the design of a real time image processing micro-system to detect defects on manufacturing products. The analysis method is based on an edge detection algorithm (differential operators) to select the information related to the structure of the objects present in the image. The edge calculation function has been integrated in a standard cell circuit using a CMOS 1.5 mu m process. The ASIC has been implemented and tested in an image processing microsystem with a CCD camera. Results show an improvement of performances (speed, noise, size reduction system characterization, etc. . .) in comparison with the first prototypes (software implementation and printed board with standard compone…

Standard cellEngineeringbusiness.industryNoise (signal processing)Image processingIntegrated circuitEdge detectionlaw.inventionApplication-specific integrated circuitlawMicrosystemElectronic engineeringAlgorithm designbusinessProceedings Euro ASIC '92
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Distance-based functions for image comparison

1999

The interest in digital image comparison is steadily growing in the computer vision community. The definition of a suitable comparison measure for non-binary images is relevant in many image processing applications. Visual tasks like segmentation and classification require the evaluation of equivalence classes. Measures of similarity are also used to evaluate lossy compression algorithms and to define pictorial indices in image content based retrieval methods. In this paper we develop a distance-based approach to image similarity evaluation and we present several image distances which are based on low level features. The sensitivity and eAectiveness are tested on real data. ” 1999 Published…

Standard test imagebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingPattern recognitionImage segmentationAutomatic image annotationImage textureArtificial IntelligenceSignal ProcessingDigital image processingComputer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessImage retrievalSoftwareMathematicsFeature detection (computer vision)Pattern Recognition Letters
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