Search results for "Transform"

showing 10 items of 3975 documents

State-specific multireference coupled-cluster theory

2012

The multireference problem is considered one of the great challenges in coupled-cluster (CC) theory. Most recent developments are based on state-specific approaches, which focus on a single state and avoid some of the numerical problems of more general approaches. We review various state-of-the-art methods, including Mukherjee's state-specific multireference coupled-cluster (Mk-MRCC) theory, multireference Brillouin–Wigner coupled-cluster (MR-BWCC) theory, the MRexpT method, and internally contracted multireference coupled-cluster (ic-MRCC) theory. Related methods such as extended single-reference schemes [e.g., the complete active space coupled-cluster (CASCC) theory] and canonical transfo…

Computational MathematicsCoupled clusterBasis (linear algebra)Materials ChemistryCalculusCanonical transformationComplete active spacePhysical and Theoretical ChemistryBiochemistryState specificComputer Science ApplicationsMathematicsWiley Interdisciplinary Reviews: Computational Molecular Science
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Low-Rate Reduced Complexity Image Compression using Directionlets

2006

The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to capture efficiently one-dimensional (1-D) discontinuities, like edges and contours, that are anisotropic and characterized by geometrical regularity along different directions. In our previous work, we proposed a construction of critically sampled perfect reconstruction anisotropic transform with directional vanishing moments (DVM) imposed in the corresponding basis functions, called directionlets. Here, we show that the computational complexity of our transform is comparable to the co…

Computational complexity theorybusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage codingWavelet transformPattern recognitionImage processingImage segmentationSparse approximationWavelet transformsWaveletData compressionImage reconstructionArtificial intelligencebusinessImage representationMathematicsImage compressionData compression2006 International Conference on Image Processing
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Space-Frequency Quantization using Directionlets

2007

In our previous work we proposed a construction of critically sampled perfect reconstruction transforms with directional vanishing moments (DVMs) imposed in the corresponding basis functions along different directions, called directionlets. Here, we combine the directionlets with the space-frequency quantization (SFQ) image compression method, originally based on the standard two-dimensional (2-D) wavelet transform (WT). We show that our new compression method outperforms the standard SFQ as well as the state-of-the-art compression methods, like 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 comp…

Computational complexity theorybusiness.industryWavelet transformBasis functionIterative reconstructionSet partitioning in hierarchical treesComputer visionArtificial intelligencebusinessQuantization (image processing)AlgorithmData compressionImage compressionMathematics2007 IEEE International Conference on Image Processing
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Locally constrained synthetic LoDs generation for natural terrain meshes

2004

Terrain representation is a basic topic in the field of interactive graphics. The amount of data required for a good quality of the terrain offers an important challenge to developers of such systems. For users of these applications, the accuracy of geographical data is generally less important than its natural visual appearance. This makes it possible to maintain a limited geographical database for the system and to extend it generating synthetic data. The evaluation of the intrinsic properties of the terrain (i.e. fractal dimension, roughness, etc.) may be used as the basis for generating extra data accomplishing the same patterns discovered in the actual information. However, it is also …

Computer Networks and CommunicationsComputer scienceWavelet transformTerrainTerrain renderingcomputer.software_genreFractal dimensionFractalWaveletHardware and ArchitecturePolygon meshData miningVisual artifactcomputerSoftwareFuture Generation Computer Systems
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Perceptual adaptive insensitivity for support vector machine image coding.

2005

Support vector machine (SVM) learning has been recently proposed for image compression in the frequency domain using a constant epsilon-insensitivity zone by Robinson and Kecman. However, according to the statistical properties of natural images and the properties of human perception, a constant insensitivity makes sense in the spatial domain but it is certainly not a good option in a frequency domain. In fact, in their approach, they made a fixed low-pass assumption as the number of discrete cosine transform (DCT) coefficients to be used in the training was limited. This paper extends the work of Robinson and Kecman by proposing the use of adaptive insensitivity SVMs [2] for image coding u…

Computer Networks and CommunicationsImage processingPattern Recognition AutomatedArtificial IntelligenceDistortionImage Interpretation Computer-AssistedDiscrete cosine transformComputer SimulationMathematicsModels StatisticalArtificial neural networkbusiness.industryPattern recognitionSignal Processing Computer-AssistedGeneral MedicineData CompressionComputer Science ApplicationsSupport vector machineFrequency domainVisual PerceptionA priori and a posterioriArtificial intelligencebusinessSoftwareAlgorithmsImage compressionIEEE transactions on neural networks
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An optimized mass storage FFT for vector computers

1995

Abstract The performance of a segmented FFT algorithm which allows the out-of-core computation of the Fourier transform of a very large mass storage data array is presented. The code is particularly optimized for vector computers. Tests performed mainly on a CONVEX C210 vector computer showed that, for very long transforms, tuning of the main parameters involved leads to computation speed and global efficiency better than for FFTs performed in-core. The use of tunable parameters allows optimization of the algorithm on machines with different configurations.

Computer Networks and Communicationsbusiness.industryComputer scienceComputationFast Fourier transformPrime-factor FFT algorithmArray data typeComputer Graphics and Computer-Aided DesignTheoretical Computer ScienceVector processorsymbols.namesakeFourier transformSplit-radix FFT algorithmArtificial IntelligenceHardware and ArchitectureComputer data storagesymbolsbusinessAlgorithmSoftwareParallel Computing
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Fast fringe pattern phase demodulation using FIR Hilbert transformers

2016

This paper suggests the use of FIR Hilbert transformers to extract the phase of fringe patterns. This method is computationally faster than any known spatial method that produces wrapped phase maps. Also, the algorithm does not require any parameters to be adjusted which are dependent upon the specific fringe pattern that is being processed, or upon the particular setup of the optical fringe projection system that is being used. It is therefore particularly suitable for full algorithmic automation. The accuracy and validity of the suggested method has been tested using both computer-generated and real fringe patterns. This novel algorithm has been proposed for its advantages in terms of com…

Computer science02 engineering and technology01 natural sciencesGeneralLiterature_MISCELLANEOUSQA76Structured-light 3D scannerlaw.invention010309 opticssymbols.namesakeOpticslaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringDemodulationElectrical and Electronic EngineeringPhysical and Theoretical ChemistryTransformerbusiness.industryAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsTAFringe patternsymbols020201 artificial intelligence & image processingHilbert transformbusinessOptics Communications
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Sorting of Single Biomolecules based on Fourier Polar Representation of Surface Enhanced Raman Spectra

2016

AbstractSurface enhanced Raman scattering (SERS) spectroscopy becomes increasingly used in biosensors for its capacity to detect and identify single molecules. In practice, a large number of SERS spectra are acquired and reliable ranking methods are thus essential for analysing all these data. Supervised classification strategies, which are the most effective methods, are usually applied but they require pre-determined models or classes. In this work, we propose to sort SERS spectra in unknown groups with an alternative strategy called Fourier polar representation. This non-fitting method based on simple Fourier sine and cosine transforms produces a fast and graphical representation for sor…

Computer science02 engineering and technologyBiosensing Techniquescomputer.software_genreSpectrum Analysis Raman01 natural sciencesSpectral lineArticlesymbols.namesakeCysteineSpectroscopyRepresentation (mathematics)Sine and cosine transformsMultidisciplinary010401 analytical chemistrySortingModels Theoretical021001 nanoscience & nanotechnology0104 chemical sciencesFourier transformPrincipal component analysisOdorantssymbolsPolarData mining0210 nano-technologyRaman spectroscopyBiological systemcomputerMonte Carlo MethodRaman scatteringAlgorithmsScientific Reports
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Designing an innovative system for sea wave utilization

2018

For the sea wave energy exploitation, the department of Energy of Palermo University is investigating a new approach based on the mechanical motion conversion from a linear motion into a unidirectional rotary motion. This mechanical output can be used to run alternators, producing electrical power with a very simplified energy conversion chain. First preliminary tests have been realized in laboratory using a small-scale prototype.

Computer science020209 energyLinear motion0202 electrical engineering electronic engineering information engineeringRotation around a fixed axisMechanical engineeringEnergy transformation02 engineering and technologyElectric powerKinetic energyEnergy (signal processing)OCEANS 2018 MTS/IEEE Charleston
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Simple computation of the approximated modulation transfer function (MTF) using spreadsheet-software: method and evaluation in five maxillofacial CBC…

2019

OBJECTIVES: To develop a simple way to compute the approximated modulation transfer function (MTF) manually using conventional spreadsheet software. METHODS: Basing on an edge-image a method was developed, facilitating computation of the edge spread and line spread function in open-source spreadsheet software (Gnumeric; http://projects.gnome.org/gnumeric/downloads.shtml). By means of the integrated fast Fourier transformation Fourier coefficients are obtained from the line spread function which can then be plotted vs spatial frequency to obtain MTF-plots. For the experimental evaluation an edge test object was exposed in five commercial CBCT devices for maxillofacial applications. RESULTS: …

Computer science030218 nuclear medicine & medical imaging03 medical and health sciencessymbols.namesake0302 clinical medicineTechnical ReportSimple (abstract algebra)Optical transfer functionRadiography DentalHumansRadiology Nuclear Medicine and imagingGeneral DentistryDigital signal processingSimple computationbusiness.industrySpreadsheet softwarePhantoms ImagingComputer Science::Software EngineeringReproducibility of Results030206 dentistryGeneral MedicineSpiral Cone-Beam Computed TomographyRadiographic Image EnhancementFourier transformOtorhinolaryngologysymbolsbusinessAlgorithmSoftware
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