2-D FIR Eigenfilters: A Least-Squares Approach
Journal
IEEE Transactions on Circuits and Systems
Journal Volume
37
Journal Issue
1
Pages
24-34
Date Issued
1990
Author(s)
Shyu, J.-J.
Abstract
The 1-D eigenfilter approach is extended for designing 2-D FIR filters. By minimizing a quadratic measure of the error in the 2-D frequency band, an eigenvector of an appropriate matrix is computed to get the filter coefficients. This method is not only simple but is also optimal in the least-squares sense. Several numerical design examples of 2-D arbitrary shape filters are used to illustrate the effectiveness of this approach. © 1990 IEEE
Other Subjects
Electric Filters, Low Pass; Mathematical Techniques--Least Squares Approximations; Optimization; Signal Filtering and Prediction; 2D Fan Filters; 2D FIR Eigenfilters; Circular/Elliptical Low Pass Filter; Electric Filters, Digital
Type
journal article