Title :
Near-end crosstalk mitigation using wavelets
Author_Institution :
QNX Software Syst. - Wavemakers, Vancouver, BC, Canada
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). Furthermore, the method has a low computational complexity which makes it fast, efficient, and well suited for high datarate applications.
Keywords :
computational complexity; signal denoising; wavelet transforms; computational complexity; denoising methods; near-end crosstalk mitigation; received signal; signal to crosstalk noise ratio; wavelet transform; Crosstalk; Noise measurement; Signal to noise ratio; Wavelet transforms;
Conference_Titel :
Signal Processing Conference, 2008 16th European
Conference_Location :
Lausanne