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In this paper, we proposed an efficient statistical chip-level total power estimation method considering process variations with spatial correlation. Instead of computing dynamic power and leakage power separately, the new method compute the total power via circuit level simulation under realistic input testing vectors. To consider the process variations with spatial correlation, we first apply principle...
In order to describe the extreme dependence structure of the two relief factors of debris flow of drainage area and drainage height difference, this paper studies the threshold selecting methods based on the mean residual life plot. The paper gets an accurate bivariate exceedance model which can better fit to the dependence structure of the data than the past works. The parameters in the model are...
The development of the cognitive radio technology can enormously benefit from the availability of realistic and accurate spectrum occupancy models. Time-dimension models of spectrum use proposed in the literature so far are able to capture and reproduce essential temporal characteristics such as the mean occupancy level (duty cycle) and the statistical distribution of busy/idle-period lengths. However,...
A method to simulate a two-dimensional (m1,m2)-dependent random field Y with K-distributed marginals is presented. The simulation starts with a random field with independent and identically standardized normally distributed elements. Then an (m1,m2)-dependent matrix is calculated using weighted sums. It has identically standardized normally distributed marginals. From this matrix the desired random...
Accurate statistical models for hyperspectral imaging (HSI) data are fundamental for many subsequent applications including detection, classification, and estimation. Suppose the whole nonhomogeneous HSI data is well classified into homogeneous unimodal clutters, we find that the family of elliptically contoured distributions (ECDs) is capable of providing sufficiently accurate model for each clutter...
We consider the problem of distributed test of statistical independence under communication constraints. While independence test is frequently encountered in various applications, distributed independence test is particularly useful for events detection in sensor networks: data correlation often occurs among sensor observations in the presence of a target. Focusing on the Gaussian case because of...
A white alpha stable distribution noise (WASDN) and its pseudo-power spectrum (PPS) is exactly proposed in this paper to analyze better frequency domain characteristic of alpha stable distribution noise. By a PPS estimate method based on fast Fourier transform (FFT), we can conclude that the method can have finite variance only there is four-order moments to transformed sequence and the estimate variance...
This work proposes a new yield computation technique dedicated to HLS, which is an essential component in timing variation-aware HLS research field. The SSTAs used by the current timing variation-aware HLS techniques cannot support the following two critical factors at all: (i) non-Gaussian delay distribution of `module patterns' used in scheduling and binding and (ii) correlation of timing variation...
How to monitor the changes of obligatorspsila credit rating is very important to manage credit risk, especially the obligators have strong correlated with each other, such as subprime mortgage loan crisis. In order to study the credit rating migration of obligators who have correlations with each other, we introduced a new tool to study the correlation of credit risk, the copula function, and built...
Copulas are functions that join or couple multivariate distribution functions to their one dimensional marginal distribution functions. Alternatively, copulas are multivariate distribution functions whose one-dimensional margins are uniform on the interval (0,1). The appeal of copula function lies in the fact that it eliminates the implied reliance on the multivariate normal or the assumption that...
The dramatic increase in leakage current, coupled with the swell in process variability in nano-scaled CMOS technologies, has become a major issue for future IC design. Moreover, due to the spread of leakage power values, leakage variability cannot be neglected anymore. In this work an accurate analytic estimation and modeling methodology has been developed for logic gates leakage under statistical...
In this paper we present an efficient algorithm for extracting the complete statistical distribution of the input impedance of interconnect structures in the presence of a large number of random geometrical variations. The main contribution in this paper is the development of a new algorithm, which combines both Neumann expansion and Hermite expansion, to accurately and efficiently solve stochastic...
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