An efficient nonlinear least square multisine fitting algorithm

G. Simon, Rik Pintelon, László Sujbert, Johan Schoukens

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

This paper presents a new nonlinear least-squares algorithm for fitting band-limited periodic signals with unknown frequency and harmonic content. The new solution features a model-based recursive calculation method that requires less memory space and has smaller computational demand than the known matrix-based algorithms.

Original languageEnglish
Pages (from-to)750-755
Number of pages6
JournalIEEE Transactions on Instrumentation and Measurement
Volume51
Issue number4
DOIs
Publication statusPublished - Aug 2002

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Keywords

  • Least squares methods
  • Parameter estimation
  • Periodic functions
  • Recursive estimation
  • Resonator filters

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

An efficient nonlinear least square multisine fitting algorithm. / Simon, G.; Pintelon, Rik; Sujbert, László; Schoukens, Johan.

In: IEEE Transactions on Instrumentation and Measurement, Vol. 51, No. 4, 08.2002, p. 750-755.

Research output: Contribution to journalArticle

Simon, G. ; Pintelon, Rik ; Sujbert, László ; Schoukens, Johan. / An efficient nonlinear least square multisine fitting algorithm. In: IEEE Transactions on Instrumentation and Measurement. 2002 ; Vol. 51, No. 4. pp. 750-755.
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