TY - GEN
T1 - Mellin-Transform-Based New Results of the Joint Statistics of Partial Products of Ordered Random Variables
AU - Nam, Sung Sik
AU - Ko, Young-Chai
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2021-12-15
PY - 2017
Y1 - 2017
N2 - Order statistics find applications in various areas including communications and signal processing. In this paper, we introduce new results of the joint statistics of partial products of ordered random variables (RVs) based on a Mellin-transform-based unified analytical framework. With the proposed approach, we can systematically derive the joint statistics of any partial products of ordered statistics, in terms of the Mellin transform and the probability density function (PDF). Our Mellin-transform-based approach can apply when all the K-ordered RVs are involved even for more complicated cases, when only the Ks (Ks
AB - Order statistics find applications in various areas including communications and signal processing. In this paper, we introduce new results of the joint statistics of partial products of ordered random variables (RVs) based on a Mellin-transform-based unified analytical framework. With the proposed approach, we can systematically derive the joint statistics of any partial products of ordered statistics, in terms of the Mellin transform and the probability density function (PDF). Our Mellin-transform-based approach can apply when all the K-ordered RVs are involved even for more complicated cases, when only the Ks (Ks
UR - http://hdl.handle.net/10754/670697
UR - https://ieeexplore.ieee.org/document/8006954
UR - http://www.scopus.com/inward/record.url?scp=85034105321&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2017.8006954
DO - 10.1109/ISIT.2017.8006954
M3 - Conference contribution
AN - SCOPUS:85034105321
SN - 9781509040964
SP - 2373
EP - 2377
BT - 2017 IEEE International Symposium on Information Theory (ISIT)
PB - IEEE
ER -