Results 61 to 70 of about 8,198 (217)
Predicting Statistical Signatures of Collective Emission in Disordered Color Center Ensembles
Laser &Photonics Reviews, EarlyView.We present an efficient simulation framework for modeling collective emission in disordered ensembles of quantum emitters. The low computational complexity enables large‐scale Monte Carlo simulations. Applied to SiV−${\rm SiV}^{-}$ clusters, it predicts thresholded superradiant bursts set by emitter number and quantum efficiency, as well as interaction‐
Qingyi Zhou +4 more
wiley +1 more source
Human In Vivo Validation of Frequency‐Dependent QTI
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose The aim of this work is to investigate if q‐space trajectory imaging (QTI) waveforms can be designed to probe QTI metrics at a single centroid frequency under realistic experimental conditions for in vivo human brain imaging. Methods Realistic diffusion encoding waveforms based on double‐rotation gradient waveform and magic‐angle ...
Svenja Niesen +3 more
wiley +1 more source
Small, EarlyView.Polyion complex micelles composed of blends of ABA and AB block copolymers can form coacervates with a hexagonally packed cylinder nanostructure after heating. The resulting coacervates can release the micelles under physiological conditions in a zero‐order kinetics, possessing cargo proteins.
Takumi Egashira +9 more
wiley +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
International Statistical Review, EarlyView.Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source
Blind recognition of STBC based on higher-order cumulants
Tongxin xuebao, 2016 Aiming at the problems for blind recognition of space-time block code(STBC)in MIMO communication sys-tems,a method was exploited based on higher-order cumulants of received signals.Firstly,the model of received signals was given and the fourth-order ...
Li-min ZHANG, Qing LING, Wen-jun YAN
doaj +2 more sources
On Testing for Independence Between Generalized Error Models of Several Time Series
Journal of Time Series Analysis, EarlyView.ABSTRACT We define generalized innovations associated with generalized error models having arbitrary distributions, that is, distributions that can be mixtures of continuous and discrete distributions. These models include stochastic volatility models and regime‐switching models with possibly zero‐inflated regimes.
Kilani Ghoudi +2 more
wiley +1 more source
Cumulants for finite free convolution
, 2017 In this talk we will explain recent results with Daniel Perales where we define cumulants for finite free convolution. We give a moment-cumulant formula and show that these cumulants satisfy desired properties: they are additive with respect to finite ...
Arizmendi, Octavio
core +1 more source
Electronic Notes in Theoretical Computer Science, 2003 AbstractIn this paper we use the concept of resource cumulation to model various forms of computation. The space of cumulations (called a cumulator) is simply represented as a five tuple consisting of a well-founded partial order, a monoid and a volume function.
openaire +1 more source
Cumulative Radiation Damage and Cumulative Radiation Effect [PDF]
Acta Radiologica: Oncology, 1983 Different mathematical formulas capable of replacing CRE have been analyzed. The purpose was to develop an expression which would yield a value identical with CRE for regular treatment schedules, but would represent more clearly and more truthfully the radiation damage of tissue. This quantity has been called cumulative radiation damage (CRD). Its unit
openaire +2 more sources
Sparse Causal Dynamic Linear Regression
Journal of Time Series Analysis, EarlyView.ABSTRACT We develop a sparse causal dynamic regression framework for long multivariate time series. With very long time series, the potentially large number of lags and leads in a dynamic regression model often makes time‐domain estimation numerically unstable or intractable.
Rui Huang, Kung‐Sik Chan
wiley +1 more source