Paper Info
Title
Near-end crosstalk mitigation using wavelets
Abstract
A new method to mitigate near-end crosstalk (NEXT) in the wavelet transform domain is proposed. The method utilizes the fact that the received signal has greater energy in the lower end of the transmission bandwidth in comparison to the NEXT noise and therefore is more regular, or smooth, than the NEXT noise. The method entails a new technique of estimating the NEXT noise from the received signal so that appropriate denoising methods can be applied to reduce the NEXT noise. Experiment results have shown that the method is quite effective in reducing NEXT noise especially when the signal to crosstalk noise ratio is low (SCNR). Fur- thermore, the method has a low computational complexity which makes it fast, efficient, and well suited for high data- rate applications.
Year
Venue
Keywords
2008
EUSIPCO
computational complexity,signal denoising,wavelet transforms,denoising methods,near-end crosstalk mitigation,received signal,signal to crosstalk noise ratio,wavelet transform
Field
DocType
ISSN
Noise reduction,Wavelet noise,Noise measurement,Noise (signal processing),Signal-to-noise ratio,Speech recognition,Electronic engineering,Mathematics,Wavelet transform,Computational complexity theory,Wavelet
Conference
2219-5491
Citations 
PageRank 
References 
0
0.34
7
Authors
1
Name
Order
Citations
PageRank
Rajeev C. Nongpiur1577.06