Title :
A versatile algorithm for two-dimensional symmetric noncausal modeling
Author :
Glentis, George-Othon ; Slump, Cornelis H. ; Herrmann, Otto E.
Author_Institution :
Dept. of Inf., Athens Univ., Greece
fDate :
2/1/1998 12:00:00 AM
Abstract :
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
Keywords :
FIR filters; Toeplitz matrices; autoregressive processes; filtering theory; identification; image processing; least mean squares methods; multidimensional systems; two-dimensional digital filters; 2D index space; 2D noncausal FIR filtering; 2D system identification; AR modeling; autoregressive modeling; finite impulse response filtering; general boundaries; symmetric filter masks; two-dimensional symmetric noncausal modeling; Equations; Filtering algorithms; Finite impulse response filter; Image edge detection; Image processing; Linear systems; Nonlinear filters; Shape; Signal processing algorithms; Two dimensional displays;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
