Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Convergence Characteristics of the Normalized Blind Equalization AlgorithmConvergence Characteristics of the Normalized Blind Equalization Algorithm

Other Titles
Convergence Characteristics of the Normalized Blind Equalization Algorithm
Authors
이광석
Issue Date
2010
Publisher
한국정보통신학회
Keywords
Convergence characteristics of blind equalization algorithm; Stop-and-go normalized DD; dual-mode NCMA blind equalization algorithm; Sato algorithm
Citation
Journal of Information and Communication Convergence Engineering, v.8, no.2, pp 136 - 139
Pages
4
Indexed
KCI
Journal Title
Journal of Information and Communication Convergence Engineering
Volume
8
Number
2
Start Page
136
End Page
139
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/25376
ISSN
2234-8255
2234-8883
Abstract
We derived Stop-and-go normalized DD, dual-mode normalized Sato, dual-mode NCMA blind equalization algorithm for complex data in this research. And then, the convergence characteristics of the proposed SG-NDD, dual-mode NSato blind equalization algorithms are compared with those of SG-DD, dual-mode Sato algorithms. In general, the normalized blind equalization algorithms have better convergence characteristics than the conventional algorithms.
Files in This Item
There are no files associated with this item.
Appears in
Collections
융합기술공과대학 > Division of Converged Electronic Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE