Application of fast and robust equalization in communication technology

Ye, Hua, Zhou, Wanlei, Lin, Ye, Lanham, Elicia and Raitman, Ruth 2003, Application of fast and robust equalization in communication technology, in International Conference for Young Computer Scientists (7th : 2003, Harbin China), International Academic Publishers, Beijing, pp. 114-118.

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Title Application of fast and robust equalization in communication technology
Author(s) Ye, Hua
Zhou, Wanlei
Lin, Ye
Lanham, Elicia
Raitman, Ruth
Conference name Exploring the new-generation computing technology: proceedings of the 7th International Conference for Young Computer Scientists
Conference location Harbin, China
Conference dates 8-10 August 2003
Title of proceedings International Conference for Young Computer Scientists (7th : 2003, Harbin China)
Editor(s) Xu, Xiaofei
Wang, Yadong
Han, Jiqing
Jiang, Shouxu
Publication date 2003
Conference series International Conference for Young Computer Scientists
Start page 114
End page 118
Publisher International Academic Publishers
Place of publication Beijing
Summary In this paper, the authors explore the potential of several popular equalization techniques while overcoming their disadvantages. First, extensive literature survey on equalization is conducted. The focus is on popular linear equalization algorithms such as the conventional least-mean-square (LMS) algorithm , The recursive least-squares (RLS) algorithm, the filtered-X LMS algorithm and their development. To overcome the slow convergence problem while keeping the simplicity of the LMS based algorithms, an H2 optimal initialization is proposed.
ISBN 7506260840
9787506260848
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, Taylor and Francis
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005205

Document type: Conference Paper
Collection: School of Information Technology
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