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Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from medicine to finance. Deciphering the causal relationships between the various time series can be critical in understanding and consequently, enhancing the efficacy of the underlying processes in these domains. Grouped graphical...
A compact model and simulation methodology for chalcogenide based memristor devices is proposed. From a microprocessor design view point, it is important to be able to simulate large numbers of devices within the integrated circuit architecture in order to speed up reliably the development process. Ideally, device models would accurately describe the characteristic device behavior and would be represented...
In this paper, the design and development of mathematical model and computer simulation of the waveguide acoustooptical units (WAOU) for correlation and spectrum processing of multicolour optical signal real time are discussed. The WAOU is based on the waveguide acoustooptical Bragg diffraction of the modulated light beam on a modulated surface acoustic wave (SAW) and the registration of this diffraction...
K-distributed clutter is represented as the product of a Rayleigh speckle component and the square root of a gamma distributed modulation process. A model describing the modulation process of arbitrary spatial autocorrelation function is presented. The key advantages of this model over previous models are that the spatial correlation is introduced to Gaussian processes, thus enabling well established...
A simple autocorrelation model for shadow fading in mobile radio channels is proposed. The model is fitted to both large cells and microcells. Results show that the model fit is good for large to moderate cell sizes. It is however shown that the model does not provide adequate results for microcells.<<ETX>>
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