In this work a novel algorithm is presented for the efficient two-dimensional (2-D) symmetric noncausal finite impulse response (FIR) filtering and autoregressive (AR) modeling. Symmetric filter masks of general boundaries are allowed. The proposed algorithm offers the greatest maneuverability in the 2-D index space in a computationally efficient way. This flexibility can be taken advantage of if the shape of the 2-D mask is not a priori known and has to be dynamically configured.
|Number of pages||6|
|Journal||IEEE transactions on circuits and systems II: analog and digital signal processing|
|Publication status||Published - 1998|
Glentis, G-O., Slump, C. H., & Herrmann, O. E. (1998). A Versatile Algorithm for Two-Dimensional Symmetric Noncausal Modeling. IEEE transactions on circuits and systems II: analog and digital signal processing, 45(2), 251-256. https://doi.org/10.1109/82.661666