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Sparse separable 2‐D FIR filter design based on iterative reweighted ℓ 1 norm and greedy searching techniques
Author(s) -
Wang Hao,
Li Weiqi,
Zhao Zhijin,
Sun Jian
Publication year - 2020
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.23048
Subject(s) - finite impulse response , separable space , compressed sensing , norm (philosophy) , mathematical optimization , algorithm , greedy algorithm , iterative method , filter design , filter (signal processing) , mathematics , computer science , computer vision , mathematical analysis , political science , law
A new separable 2‐D finite impulse response (FIR) filter design technique with sparse coefficients is proposed. This technique includes two stages. In the first stage, the iterative reweighted ℓ 1 norm technique is utilized to design a sparse separable 2‐D FIR filter based on some initial design. In the second stage, the greedy searching technique is utilized to make more sparse coefficients based on the first stage design. Simulation experiment validates the effectiveness of the proposed technique. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.