Search results for " processing"

showing 10 items of 7549 documents

Method to find the Minimum 1D Linear Gradient Model for Seismic Tomography

2016

The changes in the state of a geophysical medium before a strong earthquake can be found by studying of 3D seismic velocity images constructed for consecutive time windows. A preliminary step is to see changes with time in a minimum 1D model. In this paper we develop a method that finds the parameters of the minimum linear gradient model by applying a two-dimensional Taylor series of the observed data for the seismic ray and by performing least-square minimization for all seismic rays. This allows us to obtain the mean value of the discrete observed variable, close to zero value.

Local earthquake tomography02 engineering and technology010502 geochemistry & geophysics01 natural sciencesTheoretical Computer SciencePhysics::Geophysicssymbols.namesakeTime windowsLinear gradient of velocity0202 electrical engineering electronic engineering information engineeringTaylor series0105 earth and related environmental sciencesAlgebra and Number TheoryZero (complex analysis)State (functional analysis)GeodesyLinear gradientVariable (computer science)Computational Theory and MathematicsLíkönSeismic tomographysymbols020201 artificial intelligence & image processingMinificationJarðskjálftarMinimum 1D modelGeologyJarðskjálftamælingarInformation Systems
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Coarse-Grained Barrier Trees of Fitness Landscapes

2016

Recent literature suggests that local optima in fitness landscapes are clustered, which offers an explanation of why perturbation-based metaheuristics often fail to find the global optimum: they become trapped in a sub-optimal cluster. We introduce a method to extract and visualize the global organization of these clusters in form of a barrier tree. Barrier trees have been used to visualize the barriers between local optima basins in fitness landscapes. Our method computes a more coarsely grained tree to reveal the barriers between clusters of local optima. The core element is a new variant of the flooding algorithm, applicable to local optima networks, a compressed representation of fitnes…

Local optima networksTheoretical computer scienceFitness landscapeComputer scienceSearch difficulty0102 computer and information sciences02 engineering and technology01 natural sciencesLocal optimum0202 electrical engineering electronic engineering information engineeringCluster (physics)Disconnectivity graphRepresentation (mathematics)MetaheuristicNK-landscapesFlooding algorithmbusiness.industryFitness landscape analysisBig valleyLocal optima networksTree (data structure)010201 computation theory & mathematicsBarrier tree020201 artificial intelligence & image processingArtificial intelligencebusiness
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Shift- and scale-invariant recognition of contour objects with logarithmic radial harmonic filters.

2008

The phase-only logarithmic radial harmonic (LRH) filter has been shown to be suitable for scale-invariant block object recognition. However, an important set of objects is the collection of contour functions that results from a digital edge extraction of the original block objects. These contour functions have a constant width that is independent of the scale of the original object. Therefore, since the energy of the contour objects decreases more slowly with the scale factor than does the energy of the block objects, the phase-only LRH filter has difficulties in the recognition tasks when these contour objects are used. We propose a modified LRH filter that permits the realization of a shi…

LogarithmScale (ratio)Computer sciencebusiness.industryMaterials Science (miscellaneous)Cognitive neuroscience of visual object recognitionImage processingScale invarianceScale factorIndustrial and Manufacturing EngineeringEdge detectionsymbols.namesakeFourier transformOpticsFilter (video)Computer Science::Computer Vision and Pattern RecognitionPattern recognition (psychology)HarmonicsymbolsBusiness and International ManagementbusinessAlgorithmApplied optics
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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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Fuzzifying topology induced by a strong fuzzy metric

2016

A construction of a fuzzifying topology induced by a strong fuzzy metric is presented. Properties of this fuzzifying topology, in particular, its convergence structure are studied. Our special interest is in the study of the relations between products of fuzzy metrics and the products of the induced fuzzifying topologies.

Logic010102 general mathematicsStructure (category theory)02 engineering and technologyTopologyNetwork topology01 natural sciencesFuzzy logicArtificial IntelligenceMetric (mathematics)Convergence (routing)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing0101 mathematicsTopology (chemistry)MathematicsFuzzy Sets and Systems
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Lossless and near-lossless image compression based on multiresolution analysis

2013

There are applications in data compression, where quality control is of utmost importance. Certain features in the decoded signal must be exactly, or very accurately recovered, yet one would like to be as economical as possible with respect to storage and speed of computation. In this paper, we present a multi-scale data-compression algorithm within Harten's interpolatory framework for multiresolution that gives a specific estimate of the precise error between the original and the decoded signal, when measured in the L"~ and in the L"p (p=1,2) discrete norms. The proposed algorithm does not rely on a tensor-product strategy to compress two-dimensional signals, and it provides a priori bound…

Lossless compressionApplied MathematicsMultiresolution analysisComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONData compression ratioData_CODINGANDINFORMATIONTHEORYLossy compressionPeak signal-to-noise ratioComputational MathematicsQuantization (image processing)AlgorithmMathematicsImage compressionData compressionJournal of Computational and Applied Mathematics
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Efficient image compression using directionlets

2007

Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms with directional vanishing moments imposed along different directions. We combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional wavelet transform. We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art image compression methods, such as SPIHT and JPEG-2000, in terms of the quality of compressed images, especially in a low-rate compression regime. We also show that the order of computational complexity remains the same, as compared to the complexity of the sta…

Lossless compressionTexture compressionbusiness.industryWavelet transformSet partitioning in hierarchical treesWaveletComputer visionArtificial intelligencebusinessQuantization (image processing)AlgorithmMathematicsData compressionImage compression2007 6th International Conference on Information, Communications & Signal Processing
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Performance evaluation of different techniques to estimate subjective quality in live video streaming applications over LTE-Advance mobile networks

2018

Abstract Current mobile service providers are offering Gigabit Internet access over LTE-Advanced networks. Traditional services, such as live video streaming, over wired networks are feasible on these networks. However different aspects should be taken into account due to the fast changing network conditions as well as the constrained resources of the mobile phones, in order to provide a good subjective video quality in terms of Mean Opinion Score (MOS). Our goal is to estimate and predict this subjective metric without information or reference from the original video, known as Non Reference approach. This approach is important for the Service Provider from a practical point of view, becaus…

Lossless compressionbusiness.product_categoryComputer Networks and CommunicationsComputer scienceMean opinion scoremedia_common.quotation_subject020206 networking & telecommunications02 engineering and technologyService providerVideo qualitycomputer.software_genreComputer Science ApplicationsHardware and ArchitectureMobile phoneBit rate0202 electrical engineering electronic engineering information engineeringInternet access020201 artificial intelligence & image processingQuality (business)Data miningbusinesscomputerSubjective video qualityMobile servicemedia_commonJournal of Network and Computer Applications
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Stx5 is a novel interactor of VLDL-R to affect its intracellular trafficking and processing

2012

We identified syntaxin 5 (Stx5), a protein involved in intracellular vesicle trafficking, as a novel interaction partner of the very low density lipoprotein (VLDL)-receptor (VLDL-R), a member of the LDL-receptor family. In addition, we investigated the effect of Stx5 on VLDL-R maturation, trafficking and processing. Here, we demonstrated mutual association of both proteins using several in vitro approaches. Furthermore, we detected a special maturation phenotype of VLDL-R resulting from Stx5 overexpression. We found that Stx5 prevented advanced Golgi-maturation of VLDL-R, but did not cause accumulation of the immature protein in ER, ER to Golgi compartments, or cis-Golgi ribbon, the main ex…

Low-density lipoprotein receptor-related protein 8Very Low-Density Lipoprotein ReceptorCHO CellsSTX5Biologysymbols.namesakeCricetulusCricetinaeAnimalsHumansSyntaxinSecretory PathwayQa-SNARE ProteinsCell Membranenutritional and metabolic diseasesIntracellular vesicleHep G2 CellsCell BiologyGolgi apparatusCell biologyProtein TransportHEK293 CellsReceptors LDLLDL receptorsymbolslipids (amino acids peptides and proteins)Protein Processing Post-TranslationalIntracellularProtein Bindingtrans-Golgi NetworkExperimental Cell Research
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A construction of a fuzzy topology from a strong fuzzy metric

2016

<p>After the inception of the concept of a fuzzy metric by I. Kramosil and J. Michalek, and especially after its revision by A. George and G. Veeramani, the attention of many researches was attracted to the topology induced by a fuzzy metric. In most of the works devoted to this subject the resulting topology is an ordinary, that is a crisp one. Recently some researchers showed interest in the fuzzy-type topologies induced by fuzzy metrics. In particular, in the paper  (J.J. Mi\~{n}ana, A. \v{S}ostak, {\it Fuzzifying topology induced by a strong fuzzy metric}, Fuzzy Sets and Systems,  6938 DOI information: 10.1016/j.fss.2015.11.005.) a fuzzifying topology ${\mathcal T}:2^X \to [0,1]$ …

Lowen $\omega$-functorFuzzy setfuzzy topology02 engineering and technologyFuzzy subalgebralcsh:AnalysisNetwork topology01 natural sciencesFuzzy logicCombinatorics0202 electrical engineering electronic engineering information engineeringFuzzifying topology0101 mathematicsTopology (chemistry)Lowen $\omega$-functor.MathematicsDiscrete mathematicsFuzzy topologylcsh:Mathematics010102 general mathematicsfuzzifying topologylower semicontinuous functionslcsh:QA299.6-433Fuzzy metricFuzzy pseudo metriclcsh:QA1-939Fuzzy topologyLower semicontinuous functionsFuzzy mathematicsMetric (mathematics)fuzzy metric020201 artificial intelligence & image processingGeometry and TopologyApplied General Topology
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