Search results for "Spatial reference system"

showing 4 items of 4 documents

Mid-sagittal plane detection for advanced physiological measurements in brain scans

2019

Objective The process of diagnosing many neurodegenerative diseases, such as Parkinson's and progressive supranuclear palsy, involves the study of brain magnetic resonance imaging (MRI) scans in order to identify and locate morphological markers that can highlight the health status of the subject. A fundamental step in the pre-processing and analysis of MRI scans is the identification of the mid-sagittal plane, which corresponds to the mid-brain and allows a coordinate reference system for the whole MRI scan set. Approach To improve the identification of the mid-sagittal plane we have developed an algorithm in Matlab® based on the k-means clustering function. The results have been compared …

MalePhysiologyComputer scienceBiomedical EngineeringBiophysicsk-means algorithmNeuroimagingSpatial reference systemPhysiology (medical)medicinemid-sagittal planeHumansmagnetic resonance imagingCluster analysisSettore MAT/07 - Fisica MatematicaAgedImage segmentationmedicine.diagnostic_testbusiness.industryk-means clusteringBrainMagnetic resonance imagingPattern recognitionGold standard (test)Image segmentationMiddle AgedReference StandardsSagittal planemedicine.anatomical_structuremachine learningDatabases as TopicFemaleArtificial intelligencebusinessAlgorithms
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Deep Completion Autoencoders for Radio Map Estimation

2022

Radio maps provide metrics such as power spectral density for every location in a geographic area and find numerous applications such as UAV communications, interference control, spectrum management, resource allocation, and network planning to name a few. Radio maps are constructed from measurements collected by spectrum sensors distributed across space. Since radio maps are complicated functions of the spatial coordinates due to the nature of electromagnetic wave propagation, model-free approaches are strongly motivated. Nevertheless, all existing schemes for radio occupancy map estimation rely on interpolation algorithms unable to learn from experience. In contrast, this paper proposes a…

Signal Processing (eess.SP)Computer scienceApplied MathematicsSpectral densityInterference (wave propagation)computer.software_genreAutoencoderSpectrum managementComputer Science ApplicationsNetwork planning and designSpatial reference systemFOS: Electrical engineering electronic engineering information engineeringResource allocationData miningElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal ProcessingcomputerInterpolation
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Data-Driven Spectrum Cartography via Deep Completion Autoencoders

2019

Spectrum maps, which provide RF spectrum metrics such as power spectral density for every location in a geographic area, find numerous applications in wireless communications such as interference control, spectrum management, resource allocation, and network planning to name a few. Spectrum cartography techniques construct these maps from a collection of measurements collected by spatially distributed sensors. Due to the nature of the propagation of electromagnetic waves, spectrum maps are complicated functions of the spatial coordinates. For this reason, model-free approaches have been preferred. However, all existing schemes rely on some interpolation algorithm unable to learn from data. …

Signal Processing (eess.SP)Network architectureComputer sciencebusiness.industry05 social sciencesSpectral density050801 communication & media studiesSpectrum managementNetwork planning and design0508 media and communicationsSpatial reference system0502 economics and businessFOS: Electrical engineering electronic engineering information engineeringResource allocationWireless050211 marketingElectrical Engineering and Systems Science - Signal ProcessingbusinessVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550CartographyInterpolation
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Non-interleaved Quadtree Node Codification

2004

The usual quadtree node non-pointer codification is based on interleaved binary representations of node coordinates, in such a way that every operation that concerns to the spatial position or to the specific orientation of the region represented by the node needs to undo this interleaving process. So, the computation time of such operations is linear with the node depth. In this paper an alternative codification is presented called “non-interleaved codification”. The new codification has a simpler management and a higher intuitiveness than current codifications that use the interleaving approach. The proposed codification is more efficient than previous ones for the following set of operat…

Theoretical computer scienceComputer scienceSpatial reference systemComputationQuadtreeAlgorithm
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