Title :
The design of 2-D recursive filters in the 2-D reflection coefficient domain
Author_Institution :
Schlumberger-Doll Research Center, Ridgefield, Connecticut
Abstract :
In this paper the reflection (or partial correlation) coefficient representation for 2-D minimum-phase filters is discussed. The representation is the basis for a new approach to designing 2-D all-pole recursive filters: the filters are designed by choosing appropriately a finite set of 2-D reflection coefficients, and stability is guaranteed merely by constraining the reflection coefficient magnitudes to be less than one.
Keywords :
Algorithm design and analysis; Autocorrelation; Equations; Finite impulse response filter; Frequency response; Lattices; Mean square error methods; Nonlinear filters; Random processes; Reflection;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '79.
DOI :
10.1109/ICASSP.1979.1170702
