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. <br>
History
Location
Harbin, China
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2003, Taylor and Francis
Editor/Contributor(s)
X Xu, Y Wang, J Han, S Jiang
Pagination
114 - 118
Start date
2003-08-08
End date
2003-08-10
ISBN-13
9787506260848
ISBN-10
7506260840
Title of proceedings
International Conference for Young Computer Scientists (7th : 2003, Harbin China)
Event
Exploring the new-generation computing technology: proceedings of the 7th International Conference for Young Computer Scientists