Title :
Design of two-dimensional digital filters in the spatial domain
Author :
Bose, Tamal ; Chen, Mei-Qin
Author_Institution :
Dept. of Electr. Eng., Colorado Univ., Denver, CO, USA
fDate :
3/1/1993 12:00:00 AM
Abstract :
The design of two-dimensional (2-D) recursive digital filters in the spatial domain is investigated. Two algorithms are proposed for this purpose, namely, a modified version of the Newton-Raphson (MNR) method, and the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Both of these methods are shown to outperform the Davidson-Fletcher-Powell (DFP) algorithm in terms of efficiency, when used for filter design. Comparison shows that the MNR is more efficient than the BFGS except for very-low-order filters, where the BFGS performs slightly better
Keywords :
two-dimensional digital filters; 2D recursive digital filters; Broyden Fletcher-Goldfarb-Shanno method; Davidson-Fletcher-Powell algorithm; Newton-Raphson method; design; efficiency; spatial domain; two-dimensional digital filters; Array signal processing; Biomedical signal processing; Digital filters; Maximum likelihood detection; Maximum likelihood estimation; Multidimensional signal processing; Parameter estimation; Power harmonic filters; Signal processing algorithms; Speech processing;
Journal_Title :
Signal Processing, IEEE Transactions on
