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Blind channel identifiability/equalizability of single input multiple output nonlinear channels from second order statistics
Conference proceeding

Blind channel identifiability/equalizability of single input multiple output nonlinear channels from second order statistics

Roberto Lopez-Valcarce and Soura Dasgupta
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), Vol.5, pp.2769-2772 vol.5
2000
DOI: 10.1109/ICASSP.2000.861075

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Abstract

We explore the utility of second-order statistics for blind identification/equalization of nonlinear channels. Under standard assumptions it is shown that the channel cannot be identified to within a scaling factor from the output second order statistics, but that the ambiguity is at a level that permits equalization. We show that these results cover cases that the prior literature does not address.
Polynomials Blind equalizers Cities and towns Data communication Finite impulse response filter Higher order statistics Kernel Magnetic recording Satellite communication Sensor arrays

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