Design of 2-D FIR Digital Filters by McClellan Transformation and Least Squares Eigencontour Mapping
نویسندگان
چکیده
A powerful eigenfilter approach is proposed to determine the optimal coefficients of McClellan transformation. It can design arbitrary shape transformation contours to map from 1-D prototypes to 2-D FIR filters very effectively. This paper presents the design methods for 2-D fan filters with general slope and inclination angle, elliptically symmetric filters of arbitrary orientation, circularly symmetric filters, and diamond-shaped filters in details. Several numerical examples are given to demonstrate the usefulness and the efficiency of the present method.
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