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- W2897512932 abstract "An efficient algorithm is proposed for the minimax design of two-dimensional (2-D) linear-phase FIR filters with frequency inequality constraints. The method converts the constrained minimax design problem into a series of unconstrained weighted minimax design problems, where the weighting function is appropriately updated in each iteration. Further, these unconstrained weighted minimax design problems are solved efficiently using a matrix-based iterative reweighted least-squares (IRLS) algorithm. Moreover, the proposed algorithm is guaranteed to converge to the optimal solution provided it exists. Finally, a design example and comparison with existing method are provided to demonstrate the effectiveness and efficiency of the proposed method." @default.
- W2897512932 created "2018-10-26" @default.
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- W2897512932 date "2018-07-01" @default.
- W2897512932 modified "2023-09-24" @default.
- W2897512932 title "A Matrix-based Algorithm for the Minimax Design of 2-D FIR Filters with Frequency Constraints" @default.
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- W2897512932 doi "https://doi.org/10.23919/chicc.2018.8483449" @default.
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