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Low pass filters based on bernstein-balazs operators

Published: 24 November 2017 Publication History

Abstract

This paper presents a design of low-pass filter by using Bernstein-Balazs operators. It has more parameters than classical Bernstein polynomials. The parameters α and ε can adjust maximally flat, slope of linear phase and constant of delay. In the results, the proposed method shows the magnitude response has maximally flat, linear with non-minimum phase and nearly constant delay. The example of applications of this proposed method is desired to design the gain equalizer at -1dB and confirm the stability of the approximated transfer function by Mihailov's criterion.

References

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cover image ACM Other conferences
ICCIP '17: Proceedings of the 3rd International Conference on Communication and Information Processing
November 2017
545 pages
ISBN:9781450353656
DOI:10.1145/3162957
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2017

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Author Tags

  1. balazs operation
  2. bernstein polynomials
  3. low pass filter

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ICCIP 2017

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Overall Acceptance Rate 61 of 301 submissions, 20%

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