129
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Algebraic differentiators through orthogonal polynomials series expansions

Pages 2082-2089 | Received 12 Mar 2017, Accepted 09 Nov 2017, Published online: 04 Dec 2017
 

ABSTRACT

Numerical differentiation is undoubtedly a fundamental problem in signal processing and control engineering, due to its countless applications. The goal of this paper is to address this question within an algebraic framework. More precisely, we consider a noisy signal and its orthogonal polynomial series expansion. Through the algebraic identification of the series coefficients, we then propose algebraic differentiators for the signal. Examples based on Hermite and Laguerre polynomials illustrate these algebraic differentiators.

Disclosure statement

No potential conflict of interest was reported by the author.

Notes

1. The noise here is interpreted as a fast oscillation and it does not depend on any probabilistic modeling, as in (Fliess Citation2006, Citation2008).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.