A General Structure of Linear-Phase FIR Filters with Derivative Constraints

Bo You Yu, Peng Hua Wang, Po-Ning Chen

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

In this paper, a general structure of linear-phase finite impulse response filters, whose frequency responses satisfy given derivative constraints imposed upon an arbitrary frequency, is proposed. It is comprised of a linear combination of parallelly connected subfilters, called the cardinal filters, with weighted coefficients being the successive derivatives of the desired frequency response at the constrained frequency. An advantage of such a cardinal filters design is that only the weighted coefficients are relevant to the desired frequency response but not the cardinal filters; hence, a dynamic adjustment of the filter system becomes feasible. The key to derive the coefficients of cardinal filters is the determination of the power series expansion of certain trigonometric-related functions. By showing the elaborately chosen trigonometric-related functions satisfy specific differential equations, recursive formulas for the coefficients of cardinal filters are subsequently established, which make efficient their computations. At last, a simple enhancement of the cardinal filters design by incorporating the mean square error minimization is presented through examples.

Original languageEnglish
Article number7865939
Pages (from-to)1839-1852
Number of pages14
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume64
Issue number7
DOIs
StatePublished - 1 Jul 2017

Keywords

  • Finite impulse response (FIR) filters
  • Taylor interpolation
  • linear phase filters
  • maximally flat (MF) filters

Fingerprint Dive into the research topics of 'A General Structure of Linear-Phase FIR Filters with Derivative Constraints'. Together they form a unique fingerprint.

  • Cite this