Title
Weighted least mean square design of 2-d fir digital filters: the general case
Document Type
Article
Publication Date
12-1-1996
Abstract
This paper solves the weighted least mean square (WLMS) design of two-dimensional (2-D) finite impulse response (FIR) filters with general half plane symmetric frequency responses and nonnegative weighting functions. The optimal solution is characterized by a pair of coupled integral equations and the existence and uniqueness of the WLMS solution for 2-D FIR filter design are established. Two efficient numerical algorithms using a 2-D fast Fourier transform (FFT) are proposed to solve the WLMS solution. One is based on the contraction mapping and fix point theorem characterizing the coupled integral equation; the other uses conjugate gradient techniques which guarantees Unite convergence. The associated computational complexity is analyzed and compared with existing algorithms. Examples are used to illustrate the effectiveness of the proposed design algorithms. The selection of weighting functions to improve the minima performance of the filter is also discussed. © 1996 IEEE.
Publication Source (Journal or Book title)
IEEE Transactions on Signal Processing
First Page
2568
Last Page
2578
Recommended Citation
Aravena, J., & Gu, G. (1996). Weighted least mean square design of 2-d fir digital filters: the general case. IEEE Transactions on Signal Processing, 44 (10), 2568-2578. https://doi.org/10.1109/78.539040