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This paper proposes a general analytical approach to derive the outage probability of hybrid automatic repeat request with incremental redundancy (HARQ-IR) over correlated fading channels in closed-form. Unlike prior analyses, the consideration of channel correlation is one of the key reasons making the outage analysis involved. Using conditional Mellin transform, the outage probability of HARQ-IR...
Today, The cloud industry is adopting the container technology both for internal usage and as commercial offering. The use of containers as base technology for large-scale systems opens many challenges in the area of resource management at run-time. This paper addresses the problem of selecting the more appropriate performance metrics to activate auto-scaling actions. Specifically, we investigate...
The Delay-Multiply-And-Sum (DMAS) beamformer has recently been presented in the context of medical ultrasound image formation. Images obtained with the DMAS beamformer present improved contrast resolution and noise rejection when compared to images obtained with the standard Delay-And-Sum (DAS) beamformer. We study here the signal statistics for a homogeneous medium using both the DAS and DMAS beamformers...
In statistical approaches such as statistical static timing analysis, the distribution of the maximum (or the minimum) of plural distributions is needed, and is computed by repeating a statistical maximum operation of two distributions (2Max operation). Since each distribution is represented by a linear combination of several explanatory random variables (RVs) so as to handle correlations efficiently,...
Currently the number of applications where the data generation function is not known has been growing, making necessary the use of non-parametric estimation techniques to describe such model. Therefore, relevant questions emerge regarding the quality of the model that represents some dataset and how to quantify this quality. This article aims to evaluate some of the measurements presented in the literature...
A novel solution of the inverse Frobenius-Perron problem for constructing semi-Markov chaotic maps with prescribed statistical properties is presented. The proposed solution uses recursive Markov state disaggregation to construct an ergodic map with a piecewise constant invariant density function that approximates an arbitrary probability distribution over a compact interval. The solution is novel...
In our analysis, we consider daily rainfall records y(n) from 3825 areas covering entire China. The daily rainfall records is 50 years long from 1961 to 2011. We study the statistical properties of the daily rainfall data and return intervals Tq between two consecutive rainfall records above some threshold q. Using the detrended fluctuation analysis (DFA) method to analyze the long-term correlation...
Since MEMS systems get more and more complex their design needs accurate consideration of the worst-case conditions. This paper introduces a realistic worst-case characterization from IC design to the MEMS manufacturing process. It is based on the joint distribution of process parameters and on the sensitivity analysis of circuit performance and provides an improved worst-case charcterization to classical...
A new (Beaulieu-Xie) fading model was recently proposed to describe line-of-sight and non-line-of-sight components in wireless channels. In this work, we consider both outage probability and error rate performance of selective combining over this new fading channel model with arbitrary channel correlation. Closed-form expressions are obtained for asymptotically tight upper and lower bounds. The analytical...
This paper presents a detailed modelling, analysis and experimental verification of the noise behaviour for two families of MEMS based inclinometers. These MEMS use two accelerometers in opposing directions to measure inclination. Large sample sizes have been used to ensure reliable statistical results. The results reveal a differential susceptibility of the two sensors to ambient vibrational noise...
With increasing number of electric vehicles and electric vehicle charge stations, the question that if existing infrastructure of distribution system will meet new requirements has gained great importance. Mutable load profiles of distribution system and charge stations makes engineering analyses more sophisticated. In this study, some probabilistic analyses are carried out in a local distribution...
Cognition emerges from complex interaction amongst widespread brain areas. In this paper, we use a novel methodology for temporal networks quantification for EEG. We model the spatiotemporal structure of dependencies across different electrodes with respect to a single electrode as a local probability density function. This enables immediately the use of information theoretic quantities (information...
One of the most important challenges in target tracking is the modeling of correlated and non-Gaussian random processes. In this paper, a new target tracking approach by means of particle filtering in environments with highly correlated sensors, is discussed. The goal is to provide an accurate model of dependency structure in multivariate observation likelihood function, with non-Gaussian marginals...
This paper addresses the problem of detecting the presence of a complex-valued, possibly improper, but unknown signal, common among two or more sensors (channels) in the presence of spatially independent, unknown, possibly improper and colored, noise. Past work on this problem is limited to signals observed in proper noise. A source of improper noise is IQ imbalance during down-conversion of bandpass...
In this paper, a novel Asymptotic Probability Estimation (APE) method is proposed to estimate the probability of correlated rare failure events for complex integrated systems containing a large number of replicated cells. The key idea is to approximate the failure rate of the entire system by solving a set of nonlinear equations derived from a general analytical model. An error refinement method based...
Single electron circuits are proposed for use as a coherent signal source. This paper uses the Monte-Carlo method to investigate the degree of correlation between successive events in long arrays of tunnel junctions. Simulations use ensemble studies starting from a known condition used to compute the probability density functions for time between events. It is shown that longer arrays produce more...
Scan registration is the fundamental of several advanced 3D data processing techniques, and the majority of existing global registration methods depend on explicit features. This paper presents a global feature-less scan registration strategy based on the Spherical Entropy Image (SEI) and the Generalized Convolution Theorem. The structure of the scan is described by a spherical function named SEI...
With the continuously increasing demand for higher bandwidth, bit rates of high speed serial links (USB, SATA, PCI-express, etc.) have reached the multi-gigabits per second. The transmitted jitter at a given bit error rate is one of the major electrical parameters used to characterize SerDes Integrated Circuit performance. The standard organizations specify RJ and DJ budgets. Decomposing the jitter...
In cognitive radio networks, multichannel spectrum sensing yield accurate results compared to single channel sensing schemes. However, often realistic correlation among multiple sensing channels is ignored. In this paper, we investigate the performance of a cognitive radio spectrum sensing systems considering more realistic exponential correlation among multiple sensing channels. Closed-form expressions...
Call detail records (CDRs) collected at telecommunication networks have been well studied to reveal human behaviors such as voice service usage, contact regularities and mobility patterns. With the advances in big data technology, carriers can now collect, store and analyze more data, such as records of user mobile web activities, at scales much larger than CDRs. In this paper, we study 14 features...
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