Search results for "Program"

showing 10 items of 5938 documents

A New Model for Sigma-Delta Modulator Oriented to Digitally Controlled DC/DC Converter

2007

Recent research activities have shown the feasibility and advantages of using digital controller ICs specifically developed for high-frequency switching converters, highlighting a challenging future trend in Switched-mode power supplies (SMPS) applications. Up to a few years ago, the application of digital control for SMPS was impractical due to the high cost and low performance of DSP and microcontroller systems, even if the advantages that digital controllers offer were well known, such as immunity to analog component variations and ability to implement sophisticated control schemes and system diagnostics. Digital controller ICs potentially offer other advantages from the integrated desig…

Sigma-delta modulatorEngineeringAdaptive controlbusiness.industryBuck converterHardware description languageDelta-sigma modulationSettore ING-INF/01 - Elettronicadigital controlDC/DC converterHardware and ArchitectureMechanics of MaterialsModeling and SimulationVHDLElectronic engineeringDigital controlElectrical and Electronic EngineeringbusinessField-programmable gate arraycomputerSoftwareDigital signal processingcomputer.programming_languageInternational Journal of Modelling and Simulation
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Deep Gaussian processes for biogeophysical parameter retrieval and model inversion

2020

Parameter retrieval and model inversion are key problems in remote sensing and Earth observation. Currently, different approximations exist: a direct, yet costly, inversion of radiative transfer models (RTMs); the statistical inversion with in situ data that often results in problems with extrapolation outside the study area; and the most widely adopted hybrid modeling by which statistical models, mostly nonlinear and non-parametric machine learning algorithms, are applied to invert RTM simulations. We will focus on the latter. Among the different existing algorithms, in the last decade kernel based methods, and Gaussian Processes (GPs) in particular, have provided useful and informative so…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer Science - Machine LearningEarth observation010504 meteorology & atmospheric sciencesIASIComputer science0211 other engineering and technologiesExtrapolation02 engineering and technologyDeep Gaussian Processes01 natural sciencesArticleMachine Learning (cs.LG)symbols.namesakeCopernicus programmeSentinelsMachine learningRadiative transferFOS: Electrical engineering electronic engineering information engineeringElectrical Engineering and Systems Science - Signal ProcessingComputers in Earth SciencesModel inversionStatistical retrievalEngineering (miscellaneous)Gaussian processChlorophyll contentMoisture021101 geological & geomatics engineering0105 earth and related environmental sciencesbusiness.industryInorganic suspended matterTemperatureInversion (meteorology)Statistical modelAtomic and Molecular Physics and OpticsComputer Science ApplicationsInfrared sounderNonlinear systemsymbolsGlobal Positioning SystemColoured dissolved matterbusinessAlgorithm
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Network-Assisted Resource Allocation with Quality and Conflict Constraints for V2V Communications

2018

The 3rd Generation Partnership Project (3GPP) has recently established in Rel. 14 a network-assisted resource allocation scheme for vehicular broadcast communications. Such novel paradigm is known as vehicle--to--vehicle (V2V) \textit{mode-3} and consists in eNodeBs engaging only in the distribution of sidelink subchannels among vehicles in coverage. Thereupon, without further intervention of the former, vehicles will broadcast their respective signals directly to their counterparts. Because the allotment of subchannels takes place intermittently to reduce signaling, it must primarily be conflict-free in order not to jeopardize the reception of signals. We have identified four pivotal types…

Signal Processing (eess.SP)Linear programmingComputer scienceReliability (computer networking)media_common.quotation_subject050801 communication & media studies02 engineering and technology0508 media and communications0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringResource managementQuality (business)Electrical Engineering and Systems Science - Signal Processingmedia_commonbusiness.industryQuality of service05 social sciences020206 networking & telecommunicationsMaximizationKnapsack problemquality of serviceResource allocationbroadcast vehicular communicationssubchannel allocationbusinessComputer network
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Signal integrity studies at optical multiplexer board for TileCal system

2007

6 pages.-- ISI Article Identifier: 000253651800006

Signal delayOptical fiberComputer sciencebusiness.industryElectrical engineeringHardware and accelerator control systemsMultiplexerlaw.inventionData acquisitionElectric power transmissionCoupling (computer programming)lawDistortionSignal integritybusinessInstrumentationInstrumentation for particle accelerators and storage rings - high energy (linear accelerators synchrotrons)Mathematical PhysicsComputer hardware
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Algorithm To Calculate Heart Rate By Removing Touch Errors And Algorithm Analysis

2018

Heart rate is one of the important physiological parameter to measure the stability of the health. This study shows analysis of a proposed algorithm to calculate heart rate with miss touch errors to make it more efficient. Android Smart phone with good quality camera has come to reach of common people and has become one of the most necessary and powerful device for today and of course, for future generation. We can use its powerful features to solve or assess heart state monitoring through capturing necessary data in the form of image. Mobile camera has a photo emitting diode and a photo detector. Light source illuminates the tissue and photo-detector calculates the small intensity variatio…

Signal processingComputer science020208 electrical & electronic engineering010401 analytical chemistryFast Fourier transformComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPhotodetector02 engineering and technology01 natural sciencesWindow function0104 chemical sciences0202 electrical engineering electronic engineering information engineeringMATLABInfinite impulse responseAlgorithmcomputerHann functionSmoothingcomputer.programming_language2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)
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Efficient Analysis and Synthesis Using a New Factorization of the Gabor Frame Matrix

2018

In this paper, we consider the case in which one needs to carry out Gabor analysis and synthesis on large signals using a short support analysis window and its corresponding, possibly longer canonical dual window, respectively. In this asymmetric context, we propose a novel factorization of the Gabor frame operator that exploits its strong and well-known structure and leads to a computational cost for synthesis, which is comparable to the one needed for short support analysis. The proposed factorization applies to any Gabor system with very mild conditions and leads to a potentially promising alternative to current synthesis algorithms in the case of short analysis windows whose support is …

Signal processingCurrent (mathematics)Computer science020206 networking & telecommunicationsContext (language use)010103 numerical & computational mathematics02 engineering and technology01 natural sciencesTime–frequency analysisMatrix decompositionMatrix (mathematics)Operator (computer programming)FactorizationSignal Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsElectrical and Electronic EngineeringAlgorithmIEEE Transactions on Signal Processing
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Design of Multiresolution Operators Using Statistical Learning Tools: Application to Compression of Signals

2012

Using multiresolution based on Harten's framework [J. Appl. Numer. Math., 12 (1993), pp. 153---192.] we introduce an alternative to construct a prediction operator using Learning statistical theory. This integrates two ideas: generalized wavelets and learning methods, and opens several possibilities in the compressed signal context. We obtain theoretical results which prove that this type of schemes (LMR schemes) are equal to or better than the classical schemes. Finally, we compare traditional methods with the algorithm that we present in this paper.

Signal processingOperator (computer programming)WaveletTheoretical computer scienceComputer scienceCompression (functional analysis)SIGNAL (programming language)Context (language use)Construct (python library)Statistical theoryAlgorithm
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Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection

2021

A large number of applications in decentralized signal processing includes projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. Accomplishing such a task in a centralized fashion in networks is prone to a number of issues such as large power consumption, congestion at certain nodes and suffers from robustness issues against possible node failures. Decentralized subspace projection is an alternative method to address those issues. Recently, it has been shown that graph filters (GFs) can be implemented to perform decentralized subspace projection. However, most of the existing methods have focused on designing GFs for symmetr…

Signal processingOptimization problemComputer science020206 networking & telecommunications02 engineering and technologyShift operatorTopologyNetwork topologyGraphProjection (linear algebra)Operator (computer programming)Robustness (computer science)Signal Processing0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringWireless sensor networkSubspace topologyIEEE Transactions on Signal Processing
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The Unique Invention of the Siliceous Sponges: Their Enzymatically Made Bio-Silica Skeleton

2011

Sponges are sessile filter feeders that, among the metazoans, evolved first on Earth. In the two classes of the siliceous sponges (the Demospongiae and the Hexactinellida), the complex filigreed body is stabilized by an inorganic skeleton composed of amorphous silica providing them a distinct body shape and plan. It is proposed that the key innovation that allowed the earliest metazoans to form larger specimens was the enzyme silicatein. This enzyme is crucial for the formation of the siliceous skeleton. The first sponge fossils with body preservation were dated back prior to the “Precambrian-Cambrian” boundary [Vendian (610–545 Ma)/Ediacaran (542–580 Ma)]. A further molecule required for t…

Siliceous spongeSpongeMorphology (linguistics)Sponge spiculeChemical engineeringbiologyMineralogyOrganic matrixOrganic componentAmorphous silicabiology.organism_classificationSkeleton (computer programming)
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Aplicaciones informáticas en el estudio de la Historia del Arte. Una base de datos para el estudio del lenguaje simbólico sobre terra sigillata hispá…

2000

SimbologíaUNESCO::HISTORIA::Historia por especialidades::Historia del arteAnálisis iconográficoHistoria del arteTerra sigillataProgramas informáticosBases de datos:HISTORIA::Historia por especialidades::Historia del arte [UNESCO]ArqueologíaCerámica decorada
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