Search results for "Information theory"

showing 10 items of 664 documents

An asymptotic approximate solution to the distribution of the capacity outage intervals in OSTBC-MIMO Rayleigh fading channels

2013

This paper deals with the study of asymptotic probability density functions (PDFs) of the outage durations of the instantaneous capacity (also referred to as the mutual information) in orthogonal space-time block code (OSTBC) transceiver systems over multiple-input multiple-output (MIMO) Rayleigh fading channels. The Rayleigh fading subchannels are assumed to be frequency-nonselective and mutually uncorrelated, whereas the associated Doppler power spectral density is supposed to be symmetric about the origin. In addition, the channel state information (CSI) is considered to be available only at the receiver side. Taking these assumptions into account, and drawing upon known statistical prop…

Block codeChannel capacityApproximation theoryChannel state informationStatisticsMIMOProbability distributionApplied mathematicsProbability density functionComputer Science::Information TheoryMathematicsRayleigh fading2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
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Exact Closed-Form Expressions for the Distribution, the Level-Crossing Rate, and the Average Duration of Fades of the Capacity of OSTBC-MIMO Channels

2009

Article from the journal: IEEE Transactions on Vehicular Technology Official site: http://dx.doi.org/10.1109/TVT.2008.927038 This paper deals with some important statistical properties of the channel capacity of multiple-input-multiple-output (MIMO) systems with orthogonal space-time block code (OSTBC) transmission. We assume that all the subchannels are uncorrelated. For OSTBC-MIMO systems, exact closed-form expressions are derived for the probability density function (PDF), the cumulative distribution function (CDF), the level-crossing rate (LCR), and the average duration of fades (ADF) of the channel capacity. Furthermore, it will be shown that these exact closed-form expressions can be …

Block codeComputer Networks and CommunicationsCumulative distribution functionMIMOAerospace EngineeringProbability density functionChannel capacitysymbols.namesakeControl theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Automotive EngineeringsymbolsApplied mathematicsProbability distributionFadingElectrical and Electronic EngineeringGaussian processComputer Science::Information TheoryMathematicsIEEE Transactions on Vehicular Technology
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Channel Estimation and Interference Cancellation for MIMO-OFDM Systems

2007

This paper proposes a new channel estimation method and a new interference cancellation scheme for multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems in the presence of intersymbol interference (IS1). The proposed channel estimation method uses special training sequences (TSs) to have a desirable crest-factor of the transmitted training signal, and to prevent the influence of ISI on the channel estimation performance. By using the recommended training sequences, the ill-conditioned problem of the least square (LS) filter integrated in the proposed channel estimator can be avoided. The proposed interference cancellation scheme uses the estimated cha…

Block codeComputer Networks and Communicationsbusiness.industryOrthogonal frequency-division multiplexingComputer scienceEstimatorData_CODINGANDINFORMATIONTHEORYMIMO-OFDMInterference (wave propagation)Space–time block codeIntersymbol interferenceSignal-to-noise ratioInterference (communication)Single antenna interference cancellationChannel state informationGuard intervalDemodulationElectrical and Electronic EngineeringTelecommunicationsbusinessNyquist ISI criterionAlgorithmSoftwareComputer Science::Information TheoryCommunication channelIEICE Transactions on Communications
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Performance Analysis of STBC-OFDM Systems in Temporally or Spatially Correlated Fading Channels

2010

This paper analyzes the performance of space-time block coded orthogonal frequency division multiplexing (OFDM) systems. In our analysis, we abandon the usually made assumption of quasi-static channel conditions. Instead of this, we consider the more general and realistic case that the channel envelope changes during two consecutive transmission time slots. In addition, we take the spatial correlation between sub-channels into account. We first present a general formal expression for the bit error probability (BEP), from which we find analytical solutions for the BEP not only for temporally fading channels but also for spatially correlated channels. The knowledge of the obtained analytical …

Block codeSpatial correlationComputer sciencebusiness.industryOrthogonal frequency-division multiplexingData_CODINGANDINFORMATIONTHEORYSpace–time block codeSignal-to-noise ratioFadingWidebandTransmission timeTelecommunicationsbusinessAlgorithmComputer Science::Information TheoryCommunication channel2010 IEEE Wireless Communication and Networking Conference
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The Influence of Spatial Correlation and Severity of Fading on the Statistical Properties of the Capacity of OSTBC Nakagami-m MIMO Channels

2009

This paper deals with the analysis of statistical prop- erties of the capacity of spatially uncorrelated orthogonal space- time block coded (OSTBC) Nakagami-m multiple-input multiple- output (MIMO) channels. We have derived exact closed-form expressions for the probability density function (PDF), cumula- tive distribution function (CDF), level-crossing rate (LCR), and average duration of fades (ADF) of the channel capacity. We have also investigated the statistical properties of the approximated capacity of spatially correlated OSTBC Nakagami-m MIMO channels. The results are studied for different values of the fading parameter m, corresponding to different fading conditions. It is observed …

Block codeSpatial correlationCumulative distribution functionMIMONakagami distributionProbability density functionChannel capacityChannel codingChannel capacityVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552StatisticsMIMO communicationFadingComputer Science::Information TheoryMathematicsVTC Spring 2009 - IEEE 69th Vehicular Technology Conference
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Optimal Sampling Period and Required Number of Samples for OSTBC-MIMO Rayleigh Fading Channel Capacity Simulators

2014

The purpose of this paper is to contribute to the performance assessment of channel capacity simulators. Here, we consider the instantaneous capacity (also referred to as the mutual information) in orthogonal space-time block code (OSTBC) transceiver systems over multiple-input multiple-output (MIMO) Rayleigh fading channels. To ensure that the level-crossing rate (LCR) of the instantaneous capacity can efficiently and accurately be simulated, we derive closed-form approximate solutions to the optimal sampling period and the required number of samples to be generated. Several numerical examples will be presented to illustrate the usefulness of our procedure. It will also be shown that the d…

Block codesymbols.namesakeSpatial correlationChannel capacityControl theoryMIMOsymbolsMutual informationTransceiverGaussian processComputer Science::Information TheoryRayleigh fadingMathematics2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)
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Towards understanding the complexity of cardiovascular oscillations: Insights from information theory.

2018

Abstract Cardiovascular complexity is a feature of healthy physiological regulation, which stems from the simultaneous activity of several cardiovascular reflexes and other non-reflex physiological mechanisms. It is manifested in the rich dynamics characterizing the spontaneous heart rate and blood pressure variability (HRV and BPV). The present study faces the challenge of disclosing the origin of short-term HRV and BPV from the statistical perspective offered by information theory. To dissect the physiological mechanisms giving rise to cardiovascular complexity in different conditions, measures of predictive information, information storage, information transfer and information modificati…

Blood pressure variabilityAdultMalemedicine.medical_specialtySupine positionAdolescent0206 medical engineeringInformation TheoryHealth InformaticsBlood Pressure02 engineering and technologyBaroreflexCardiovascular Physiological Phenomena03 medical and health sciencesElectrocardiographyYoung AdultRedundancy0302 clinical medicineHeart RateInternal medicineHeart ratemedicineHeart rate variabilityHumansVagal toneHeart rate variabilitybusiness.industryModels CardiovascularCardiorespiratory fitnessSignal Processing Computer-AssistedComplexity020601 biomedical engineeringComputer Science ApplicationsCausalityBlood pressureSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaCardiologyFemalebusiness030217 neurology & neurosurgeryRespiratory minute volumeComputers in biology and medicine
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Functional connectivity inference from fMRI data using multivariate information measures

2022

Abstract Shannon’s entropy or an extension of Shannon’s entropy can be used to quantify information transmission between or among variables. Mutual information is the pair-wise information that captures nonlinear relationships between variables. It is more robust than linear correlation methods. Beyond mutual information, two generalizations are defined for multivariate distributions: interaction information or co-information and total correlation or multi-mutual information. In comparison to mutual information, interaction information and total correlation are underutilized and poorly studied in applied neuroscience research. Quantifying information flow between brain regions is not explic…

Brain MappingComputer scienceEntropyCognitive NeuroscienceConditional mutual informationBrainMultivariate normal distributionMutual informationcomputer.software_genreMagnetic Resonance ImagingInteraction informationRedundancy (information theory)Artificial IntelligenceEntropy (information theory)Computer SimulationTotal correlationInformation flow (information theory)Data miningcomputerNeural Networks
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Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition

2021

Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected by interactions involving multiple network nodes which cannot be described using pairwise links. While these higher-order interactions can be probed using information-theoretic measures, a rigorous framework to describe them in the frequency domain is still lacking. This work presents an approach for the spectral decomposition of multivariate information measures, capable of identifying higher-order synergistic and redundant interactions betwee…

Brain modelingMultivariate statisticsTechnology and EngineeringGeneral Computer ScienceTime series analysiComplex systemTIME-SERIESHEART-RATETime series analysisEEG analysisInformation theoryMOTOR IMAGERYMatrix decompositionCouplingFrequency-domain analysiRedundancyelectronic oscillatorsRedundancy (engineering)General Materials ScienceNETWORKTime domainFrequency-domain analysissignal processingTEMPERATUREParametric statisticsinformation theoryPhysicsFEEDBACKGeneral Engineeringclimate dynamicsTime measurementspectral analysisTK1-9971Mathematics and Statisticshigh-order interactionsconnectivityFrequency domainCouplingsElectrical engineering. Electronics. Nuclear engineeringBiological systeminformation dynamicsCoherenceIEEE Access
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Extropy: Complementary Dual of Entropy

2015

This article provides a completion to theories of information based on entropy, resolving a longstanding question in its axiomatization as proposed by Shannon and pursued by Jaynes. We show that Shannon's entropy function has a complementary dual function which we call "extropy." The entropy and the extropy of a binary distribution are identical. However, the measure bifurcates into a pair of distinct measures for any quantity that is not merely an event indicator. As with entropy, the maximum extropy distribution is also the uniform distribution, and both measures are invariant with respect to permutations of their mass functions. However, they behave quite differently in their assessments…

Bregman divergenceFOS: Computer and information sciencesStatistics and ProbabilitySettore MAT/06 - Probabilita' E Statistica MatematicaKullback–Leibler divergenceComputer Science - Information TheoryGeneral MathematicsFOS: Physical sciencesBinary numberMathematics - Statistics TheoryStatistics Theory (math.ST)Kullback–Leibler divergenceBregman divergenceproper scoring rulesGini index of heterogeneityDifferential entropyBinary entropy functionFOS: MathematicsEntropy (information theory)Statistical physicsDual functionAxiomMathematicsdifferential and relative entropy/extropy Kullback- Leibler divergence Bregman divergence duality proper scoring rules Gini index of heterogeneity repeat rate.Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDifferential and relative entropy/extropyInformation Theory (cs.IT)Probability (math.PR)repeat ratePhysics - Data Analysis Statistics and ProbabilitydualityStatistics Probability and UncertaintySettore SECS-S/01 - StatisticaMathematics - ProbabilityData Analysis Statistics and Probability (physics.data-an)Statistical Science
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