A novel semiblind signal extraction approach for the removal of eye-blink artifact from EEGs
EURASIP Journal on Advances in Signal Processing
Blind paraunitary equalization
Signal Processing
Blind paraunitary equalization
Signal Processing
Blind multipath MIMO channel parameter estimation using the Parafac decomposition
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Hi-index | 35.68 |
We present a novel framework for the identification of a multiple-input multiple-output (MIMO) system driven by white, mutually independent unobservable inputs. Samples of the system frequency response are obtained based on parallel factorization (PARAFAC) of three- or four-way tensors constructed based on, respectively, third- or fourth-order cross spectra of the system outputs. The main difficulties in frequency-domain methods are frequency-dependent permutation and filtering ambiguities. We show that the information available in the higher order spectra allows for the ambiguities to be resolved up to a constant scaling and permutation ambiguities and a linear phase ambiguity. Important features of the proposed approach are that it does not require channel length information, needs no phase unwrapping, and unlike the majority of existing methods, needs no prewhitening of the system outputs