Simulating sample correlation matrices is important in many areas of statistics. Approaches such as generating Gaussian data and finding their sample correlation matrix or generating random uniform [−1, 1] deviates as pairwise correlations both have drawbacks. We develop an algorithm for adding noise, in a highly controlled manner, to general correlation matrices. In many instances, our method ...

In this paper we propose the algorithm, which is different from Daugamn’s iris recognition algorithm. In the proposed algorithm the segmentation and matching method is quite different from Daugman’s method. We segment the image by considering only boundary of pupil. The localization of pupil can be done using thresholding and plotting virtual circle of proper radius can segment the region of in...

Course evaluation is an important and necessary means to improve the level of course. A new course evaluation method based on fractional grey relational distance and analytic hierarchy process (AHP) is proposed in this paper. Firstly, the proportion of the different influence factors can be determined through constructing judging-matrix and calculating-back-to-one and dealing with the checkout ...

In 2003, Reilly and Kroll examined the baseflow correlation method at river sites throughout the United States. The current study reexamines Reilly and Kroll’s baseflow correlation experiment by investigating the use of different performance metrics, experimental parameters, and model assumptions that were not investigated by Reilly and Kroll. The goal of this study is to provide additional gui...

The purpose of the paper is to present a new laser diode range finding method. The system belongs to the category of flight time measurement. The optical power of the laser diode beam is modulated and then both emitted and returned signals are compared in order to obtain the delay or distance information. The new method is an estimation of the distance by correlation computation. The main advan...

A practical framework for generating cross correlated random fields with a specified marginal distribution function, an autocorrelation function and cross correlation coefficients is presented in the paper. The approach relies on well-known series expansion methods for simulation of a Gaussian random field. The proposed method requires all cross correlated fields over the domain to share an ide...

We present an analysis of the cross-correlation for the WMAP ILC(III) low multipoles and foregrounds and show that these correlations are very high. By analysis of the 10 Monte Carlo simulations of the CMB-foreground separation presented by Eriksen et al. 2004a, we show that most likely the Lagrangian Internal Linear Combination method (LILC) produced negative shift of the distribution function...