An Improved Independence Test Method for the Convolutional Multicast Algorithm

Xubo ZHAO; Xiaoping LI; Tongjiang YAN

doi:10.1587/transfun.E100.A.2044

An Improved Independence Test Method for the Convolutional Multicast Algorithm

Xubo ZHAO, Xiaoping LI, Tongjiang YAN

Full Text Views

0

Share
Cite this

Summary :

In this letter, we present an improved method for the independence test procedure in the convolutional multicast algorithm proposed by Erez and Feder. We employ the linear independence test vectors to check the independence of the partial encoding vectors in the main program of Erez's convolutional multicast algorithm. It turns out that compared with the previous approach of computing the determinants of the correlative matrices, carrying out the independence test vectors can reduce the computational complexity.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.9 pp.2044-2047

Publication Date: 2017/09/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.2044

Type of Manuscript: LETTER

Category: Information Theory

Authors

Xubo ZHAO
  China University of Petroleum Huadong,Fujian Normal University
Xiaoping LI
  China University of Petroleum Huadong
Tongjiang YAN
  China University of Petroleum Huadong,Fujian Normal University

Keyword

cyclic network, convolutional multicast, linear independence test vector

Cite this

Copy

Xubo ZHAO, Xiaoping LI, Tongjiang YAN, "An Improved Independence Test Method for the Convolutional Multicast Algorithm" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 9, pp. 2044-2047, September 2017, doi: 10.1587/transfun.E100.A.2044.
Abstract: In this letter, we present an improved method for the independence test procedure in the convolutional multicast algorithm proposed by Erez and Feder. We employ the linear independence test vectors to check the independence of the partial encoding vectors in the main program of Erez's convolutional multicast algorithm. It turns out that compared with the previous approach of computing the determinants of the correlative matrices, carrying out the independence test vectors can reduce the computational complexity.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2044/_p

Copy

@ARTICLE{e100-a_9_2044,
author={Xubo ZHAO, Xiaoping LI, Tongjiang YAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Improved Independence Test Method for the Convolutional Multicast Algorithm},
year={2017},
volume={E100-A},
number={9},
pages={2044-2047},
abstract={In this letter, we present an improved method for the independence test procedure in the convolutional multicast algorithm proposed by Erez and Feder. We employ the linear independence test vectors to check the independence of the partial encoding vectors in the main program of Erez's convolutional multicast algorithm. It turns out that compared with the previous approach of computing the determinants of the correlative matrices, carrying out the independence test vectors can reduce the computational complexity.},
keywords={},
doi={10.1587/transfun.E100.A.2044},
ISSN={1745-1337},
month={September},}

Copy

TY - JOUR
TI - An Improved Independence Test Method for the Convolutional Multicast Algorithm
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2044
EP - 2047
AU - Xubo ZHAO
AU - Xiaoping LI
AU - Tongjiang YAN
PY - 2017
DO - 10.1587/transfun.E100.A.2044
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2017
AB - In this letter, we present an improved method for the independence test procedure in the convolutional multicast algorithm proposed by Erez and Feder. We employ the linear independence test vectors to check the independence of the partial encoding vectors in the main program of Erez's convolutional multicast algorithm. It turns out that compared with the previous approach of computing the determinants of the correlative matrices, carrying out the independence test vectors can reduce the computational complexity.
ER -