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In this work, we address blind single-input multiple-output (SIMO) system identification in conjunction with dynamical modeling of the underlying system. A multichannel cross-relation observation model in the DFT domain is employed to derive a blind adaptive algorithm that recursively learns the posterior distribution on the unknown SIMO system. The proposed algorithm inherently incorporates the time-varying...
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