Search results for "quantization"

showing 10 items of 253 documents

Topological magneto-optical effects and their quantization in noncoplanar antiferromagnets

2018

Reflecting the fundamental interactions of polarized light with magnetic matter, magneto-optical effects are well known since more than a century. The emergence of these phenomena is commonly attributed to the interplay between exchange splitting and spin-orbit coupling in the electronic structure of magnets. Using theoretical arguments, we demonstrate that topological magneto-optical effects can arise in noncoplanar antiferromagnets due to the finite scalar spin chirality, without any reference to exchange splitting or spin-orbit coupling. We propose spectral integrals of certain magneto-optical quantities that uncover the unique topological nature of the discovered effect. We also find th…

ScienceFOS: Physical sciencesGeneral Physics and Astronomy02 engineering and technologyElectronic structureTopology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyArticleMagneto opticalsymbols.namesakeQuantization (physics)Magnetic properties and materials0103 physical sciencesFaraday effectTopological insulators010306 general physicslcsh:ScienceQuantumPhysicsCondensed Matter - Materials ScienceMultidisciplinaryQMaterials Science (cond-mat.mtrl-sci)General Chemistry021001 nanoscience & nanotechnologyFundamental interactionMagnetsymbolsCondensed Matter::Strongly Correlated Electronslcsh:Qddc:500Astrophysics::Earth and Planetary AstrophysicsMagneto-optics0210 nano-technology
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A New SOM Initialization Algorithm for Nonvectorial Data

2008

Self Organizing Maps (SOMs) are widely used mapping and clustering algorithms family. It is also well known that the performances of the maps in terms of quality of result and learning speed are strongly dependent from the neuron weights initialization. This drawback is common to all the SOM algorithms, and critical for a new SOM algorithm, the Median SOM (M-SOM), developed in order to map datasets characterized by a dissimilarity matrix. In this paper an initialization technique of M-SOM is proposed and compared to the initialization techniques proposed in the original paper. The results show that the proposed initialization technique assures faster learning and better performance in terms…

Self-organizing mapComputer sciencebusiness.industryQuantization (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInitializationMedian SOM initialization pairwise dataPattern recognitionMatrix (mathematics)ComputingMethodologies_PATTERNRECOGNITIONArtificial intelligenceCluster analysisbusinessAlgorithm
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The expansion $\star$ mod $\bar{o}(\hbar^4)$ and computer-assisted proof schemes in the Kontsevich deformation quantization

2019

The Kontsevich deformation quantization combines Poisson dynamics, noncommutative geometry, number theory, and calculus of oriented graphs. To manage the algebra and differential calculus of series of weighted graphs, we present software modules: these allow generating the Kontsevich graphs, expanding the noncommutative & x22c6;-product by using a priori undetermined coefficients, and deriving linear relations between the weights of graphs. Throughout this text we illustrate the assembly of the Kontsevich & x22c6;-product up to order 4 in the deformation parameter Already at this stage, the & x22c6;-product involves hundreds of graphs; expressing all their coefficients via 149 w…

Series (mathematics)General MathematicsQuantization (signal processing)Quantum algebraDifferential calculusKontsevich graph complexNoncommutative geometryAssociative algebraAlgebradeformation quantizationtemplate libraryComputer-assisted proofNumber theoryMathematics::K-Theory and HomologyComputer Science::Logic in Computer ScienceMathematics::Quantum AlgebraAssociative algebracomputer-assisted proof schemesoftware modulePOISSON STRUCTURESnoncommutative geometryMathematics
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Is There Anything New to Say About SIFT Matching?

2020

SIFT is a classical hand-crafted, histogram-based descriptor that has deeply influenced research on image matching for more than a decade. In this paper, a critical review of the aspects that affect SIFT matching performance is carried out, and novel descriptor design strategies are introduced and individually evaluated. These encompass quantization, binarization and hierarchical cascade filtering as means to reduce data storage and increase matching efficiency, with no significant loss of accuracy. An original contextual matching strategy based on a symmetrical variant of the usual nearest-neighbor ratio is discussed as well, that can increase the discriminative power of any descriptor. Th…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryComputer scienceImage matchingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONScale-invariant feature transformPattern recognition02 engineering and technologySIFT sGLOH2 Quantization Binary descriptors Symmetric matching Hierarchical cascade filtering Deep descriptors Keypoint patch orientation Approximated overlap errorDiscriminative modelArtificial IntelligenceHistogramComputer data storage0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceSIFTsGLOH2quantizationbinary descriptorssymmetric matchinghierarchical cascade filteringdeep descriptorskeypoint patch orientationapproximated overlap errorbusinessQuantization (image processing)SoftwareInternational Journal of Computer Vision
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Adaptive motion estimation and video vector quantization based on spatiotemporal non-linearities of human perception

1997

The two main tasks of a video coding system are motion estimation and vector quantization of the signal. In this work a new splitting criterion to control the adaptive decomposition for the non-uniform optical flow estimation is exposed. Also, a novel bit allocation procedure is proposed for the quantization of the DCT transform of the video signal. These new approaches are founded on a perception model that reproduce the relative importance given by the human visual system to any location in the spatial frequency, temporal frequency and amplitude domain of the DCT transform. The experiments show that the proposed procedures behave better than their equivalent (fixed-block-size motion estim…

Signal processingAdaptive algorithmComputer sciencebusiness.industryTrellis quantizationQuantization (signal processing)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVector quantizationIterative reconstructionOptical flow estimationMotion estimationComputer Science::MultimediaHuman visual system modelDiscrete cosine transformComputer visionArtificial intelligencebusinessQuantization (image processing)
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Design and Validation of a FPGA-Based HIL Simulator for Minimum Losses Control of a PMSM

2021

This work examines the FPGA programmable logic platforms applied to minimum losses control of a Permanent Magnet Synchronous Motor (PMSM), which represents a flexible solution for the implementation of an advanced digital control algorithm, given their intrinsic parallel structure and the capability to be directly reprogrammable in the field. In particular, design and validation of a FPGA-based Hardware-In-the-Loop (HIL) simulator is proposed, by investigating about data format, quantization and discretization effects and other issues arising during the experimental validation of a controller prototype, in order to reduce the embedded software development cycle and test control systems. The…

SimulationsComputer scienceHardware-in-the-loop simulationSettore ING-INF/01 - ElettronicaElectrical drivesProgrammable logic deviceComputer Science::Hardware ArchitectureEmbedded softwareSettore ING-INF/04 - AutomaticaControl theoryControl systemHardware-in-the-loopPMSMDigital controlField-programmable gate arrayQuantization (image processing)SimulationFPGA
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Modified Landau levels, damped harmonic oscillator and two-dimensional pseudo-bosons

2010

In a series of recent papers one of us has analyzed in some details a class of elementary excitations called {\em pseudo-bosons}. They arise from a special deformation of the canonical commutation relation $[a,a^\dagger]=\1$, which is replaced by $[a,b]=\1$, with $b$ not necessarily equal to $a^\dagger$. Here, after a two-dimensional extension of the general framework, we apply the theory to a generalized version of the two-dimensional Hamiltonian describing Landau levels. Moreover, for this system, we discuss coherent states and we deduce a resolution of the identity. We also consider a different class of examples arising from a classical system, i.e. a damped harmonic oscillator.

Solutions of wave equations: bound statesBoson systems[PHYS.MPHY]Physics [physics]/Mathematical Physics [math-ph]FOS: Physical sciences01 natural sciencesCanonical commutation relationsymbols.namesakedamped harmonic oscillator[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]Modified Landau levelQuantum mechanics0103 physical sciences010306 general physicsSettore MAT/07 - Fisica MatematicaMathematical PhysicsHarmonic oscillatorEigenvalues and eigenvectorsLandau levelsBosonMathematical physicsPhysics010308 nuclear & particles physicsStatistical and Nonlinear PhysicsLandau quantizationMathematical Physics (math-ph)harmonic oscillatorssymbolsCoherent statespseudo-bosonsHamiltonian (quantum mechanics)
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A limited feedback scheme based on spatially correlated channels for coordinated multipoint systems

2012

High spectral efficiency can be achieved in the downlink of multi-antenna coordinated multi-point systems provided that the multiuser interference is appropriately managed at the transmitter side. For this sake, downlink channel information needs to be sent back by the users, thus reducing the rate available at the uplink channel. The amount and type of feedback information required has been extensively studied and many limited feedback schemes have been proposed lately. A common pattern to all of them is that achieving low rates of feedback information is possible at the cost of increasing complexity at the user side and, sometimes, assuming that some statistics of the channel are known. I…

Spatial correlationWireless communicationsComputer Networks and CommunicationsComputer scienceMIMOData_CODINGANDINFORMATIONTHEORYPrecodingTelecomunicacióControl theoryTEORIA DE LA SEÑAL Y COMUNICACIONESTelecommunications linkZero-forcing precodingWirelessComunicació i tecnologiaComputer Science::Information Theorybusiness.industryQuantization (signal processing)TransmitterLimited feedbackPrecodingComputer Science ApplicationsMIMOSignal ProcessingBit error ratebusinessAlgorithmCommunication channelEURASIP Journal on Wireless Communications and Networking
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Echocardiographic Image Analysis Based on the Evaluation of first Order Speckle Statistics

1992

Basic theoretical considerations on the statistical properties of the speckle phenomenon indicate that a conventional quantization (intervals of uniform width) of the received and envelope detected RF — signal is not adequate. We therefore propose a quantization scheme which is based on the application of quantization intervals producing always the same confidence level (adaptive quantization). The advantages are: homogenous distribution of speckle noise reduction to about 10 – 20 significant quantization levels (with neglectable loss of morphological information) quantitative measure (confidence level) of the separability of regions represented with different quantization levels. We furthe…

Speckle patternQuantization (signal processing)Speckle noiseEquidistantSpeckle statisticsFirst orderAlgorithmConfidence intervalEchocardiographic imageMathematics
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Covariant Operator Formalism for Quantized Superfields

1988

The Takahashi-Umezawa method of deriving the free covariant quantization relations from the linear equations of motion is extended to superfields. The Cauchy problem for free superfields is solved, and an expression for the time independent scalar product is given. For the case of interacting fields, we give the general Kallen-Lehmann spectral representation for the two-point superfield Green functions and, after the introduction of the asymptotic condition for superfields, we give the superfield extension of the Yang-Feldman equation. The case of the D = 2 real scalar superfield and the case of the D = 4 chiral superfield are discussed in detail.

Spectral representationHigh Energy Physics::PhenomenologySuperfieldHigh Energy Physics::TheoryFormalism (philosophy of mathematics)Quantization (physics)Nonlinear Sciences::Exactly Solvable and Integrable SystemsChiral superfieldQuantum electrodynamicsInitial value problemCovariant transformationLinear equationMathematicsMathematical physicsFortschritte der Physik/Progress of Physics
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