SAR imaging via efficient implementations of sparse ML approaches
Signal Processing
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Fast Newton transversal filters (FNTF) are a new class of adaptive algorithms unifying NLMS and fast RLS. This is achieved by allowing the algorithm to exploit a priori information about the associated predictors order. This note extends FNTF to the multichannel case and demonstrates the applicability of the resulting algorithm to decision feedback equalization