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An iterative technique for optimally designing a separable 2D FIR filter
Author(s) -
Wang Hao,
Zeng Rong,
Cheng Xinmin,
Jian Zhihua
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22608
Subject(s) - finite impulse response , separable space , filter (signal processing) , iterative method , mathematical optimization , nonlinear system , computer science , digital filter , iterative design , algorithm , mathematics , control theory (sociology) , artificial intelligence , mathematical analysis , scheduling (production processes) , physics , control (management) , quantum mechanics , computer vision
The optimal design of a separable two‐dimensional (2D) finite impulse response (FIR) filter is a nonlinear programming problem. In this paper, an iterative alternating optimization technique for optimally designing the separable 2D FIR filter in the mini‐max sense and the least‐square sense is proposed. Implementation of the proposed technique only requires a suitable initial solution. The simulation experiment validates the effectiveness of the proposed technique. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.