Design of smallest size two-dimensional linear-phase FIR filters with magnitude error constraint |
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Authors: | Xiaoping Lai |
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Institution: | (1) School of Information Engineering, Shandong University at Weihai, Weihai, 264209, People’s Republic of China |
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Abstract: | This paper presents an online procedure that produces the smallest feasible size of two-dimensional FIR filters with prescribed
magnitude error constraint. The procedure uses the mean square normalized error of constrained and unconstrained least-square
filters to produce the initial and the subsequent sizes that converge to the smallest feasible one in a few iterations, where
the constrained least-square filters are defined as the least-square filters satisfying the magnitude error constraint. The
procedure finally returns a smallest size filter that satisfies the magnitude error constraint and has least total squared
magnitude error. Design examples of diamond-shaped, rectangular, and elliptic filters are provided, and comparisons with an
exhaustive search are given. |
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Keywords: | Two-dimensional FIR filters Constrained least-square design Mean square normalized error |
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