Title
A Detection Guided Normalized Least-Mean-Squares Adaptive Partial Crosstalk Canceller for Multi-User DSL Environments
Abstract
Block crosstalk cancellation techniques in practical multi-user digital subscriber line (DSL) environments may involve a high computational complexity as the channel and noise statistics can vary over time. We follow an adaptive approach by designing a structurally consistent significance-test feature within the normalized least-mean-square (NLMS) adaptive crosstalk canceller, aimed to detect sign...
Year
DOI
Venue
2009
10.1109/LSP.2009.2017480
IEEE Signal Processing Letters
Keywords
Field
DocType
Crosstalk,DSL,Convergence,Modems,Computational complexity,Runtime,Australia,Working environment noise,Noise cancellation,Statistics
Convergence (routing),Normalization (statistics),Digital subscriber line,Computer science,Artificial intelligence,Least mean squares filter,Pattern recognition,Crosstalk,Algorithm,Communication channel,Speech recognition,Multi-user,Computational complexity theory
Journal
Volume
Issue
ISSN
16
6
1070-9908
Citations 
PageRank 
References 
3
0.41
7
Authors
5
Name
Order
Citations
PageRank
Mandar L. Gujrathi130.74
John Homer2232.72
I. Vaughan L. Clarkson312313.42
Raphael Cendrillon447952.28
Marc Moonen53673326.91