Abstract:
This brief proposes a two-dimensional (2-D) Levinson algorithm and a lattice filter for the general case of the Autoregressive (AR) model with an asymmetric half-plane (A...Show MoreMetadata
Abstract:
This brief proposes a two-dimensional (2-D) Levinson algorithm and a lattice filter for the general case of the Autoregressive (AR) model with an asymmetric half-plane (AHP) support. The resulting Levinson algorithm and corresponding lattice filter solve the 2-D normal equation recursively, Although the 2-D signals of the model support are ordered into a one-dimensional (1-D) array, the ordering of the support signal is assigned voluntarily. The effects on the resulting model caused by different choices of support signal ordering are discussed. Finally, the validity of the proposed theory is confirmed through various simulations.
Published in: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing ( Volume: 44, Issue: 10, October 1997)
DOI: 10.1109/82.633447