دانلود رایگان مقاله توزیع دامنه و فاز برای توزیع دو متغیره

1. Introduction

Several papers have derived the distributions of R and H: Aalo et al. [1] and Dharmawansa et al. [11] derived the distributions of R and H when X and Y are correlated and non-identical normal random variables with non-zero means; Yacoub [36] derived the distributions of R and H when X and Y are independent and identical Nakagami type random variables; Coluccia [10] derived the moments of R when X and Y are uncorrelated normal random variables with zero means and unequal variances; and so on. Almost all of the known papers have supposed X and Y are normally distributed. However, non-normal distributions are becoming increasingly popular in the IEEE literature: hyperbolic distribution in network modeling [24]; Laplace distribution in signal processing [14]; Cauchy distribution in segmentation of noisy colour images [34]; Kotz type distribution for multilook polarimetric radar data [20]; Student’s t distribution in medical image segmentation [28]; logistic distribution for networked video quality assessment [38]; Gumbel distribution for peak sidelobe level for arrays of randomly placed antennas [23]; skew normal distribution for statistical static timing analysis [33]; and so on. Also, we are not aware of any paper giving expressions for moments of R when X and Y are correlated random variables.