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A Modified Annulus Sector Constraint for Constrained FIR Filter Designs

  • Huoping Yi
  • Xiaoping LaiEmail author
  • Hailong Meng
Short Paper

Abstract

Optimal designs of finite impulse response (FIR) digital filters with prescribed magnitude and phase responses have found many applications in signal processing. To deal with the nonconvexity of the constraint region in the phase-error and magnitude-error constrained design, a new error constraint method based on a modified annulus sector (MAS) is proposed. With the new constraint method, the phase-error and magnitude-error constrained least squares, phase-error constrained minimax, and iterative reweighted phase-error constrained minimax designs of FIR filters are studied. Analyses and design examples demonstrate the higher accuracy of the MAS constraint and better filter performance by the constraint method than existing constraint methods. An application in the design of digital differentiators with flatness constraints is also provided.

Keywords

Finite impulse response filter Error constraint Constrained least squares Constrained minimax Iterative reweighting 

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grants 61573123, 61427808, and U1509205.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of Information and ControlHangzhou Dianzi UniversityHangzhouChina
  2. 2.Artificial Intelligence InstituteHangzhou Dianzi UniversityHangzhouChina

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