Design of two-dimensional FIR digital filters by McClellan transformation and least-squares contour mapping
Journal
Signal Processing
Journal Volume
44
Journal Issue
1
Pages
19-26
Date Issued
1995
Date
1995
Author(s)
Shyu, Jong-Jy
Abstract
A new method for searching the coefficients of the McClellan transformation is proposed for designing 2-D FIR digital filters in this paper. It can design arbitrary shape transformation contours to map from 1-D prototypes to 2-D FIR filters very effectively. Certain conditions are composed such that the scaling problem of the transformation can be avoided. Also, a new generalized McClellan transformation is presented, so it can be applied to design 2-D filters with complex coefficients. Several examples including fan filters with arbitrary inclination, elliptically symmetric filters with arbitrary orientation, and full-plane complex filters are presented, which demonstrates the effectiveness of this method. © 1995.
Subjects
2-D complex filter; 2-D FIR digital filter; Analytical least-squares approach; Fan-type filter; McClellan transformation
Other Subjects
Computational methods; Least squares approximations; Mathematical models; Mathematical transformations; Signal filtering and prediction; Arbitrary shape transformation contours; Contour mapping; McClellan transformation; Digital filters
Type
journal article
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