Design of frequency-domain experiments for discrete-valued factors
type: Item
instance of: scholarly article
title: Design of frequency-domain experiments for discrete-valued factors
zbMATH Open document ID: 0728.93020
DOI: 10.1016/0096-3003(91)90111-Y
author: Paul J. Sanchez
author: Susan M. Sanchez
published in: Applied Mathematics and Computation
publication date: 1991-01-01T00:00:00Z
review text: The authors begin by an extensive introduction of known techniques for spectrally based model identification. After that, they provide theoretical justification for the use of an existing technique for studying binary-valued inputs in the Fourier frequency domain. Further, they propose two methods, the truncated sinusoid method and the random- indicator binary-search method, for handling general discrete-valued factors, and illustrate their use. Both methods are evaluated using Fourier-based spectra. The two methods are found to have complementary applicability. When combined with previously developed techniques, they generalize the frequency-domain approach to contain discrete as well as continuous inputs.
Mathematics Subject Classification ID: 93B30
Mathematics Subject Classification ID: 58J50
Mathematics Subject Classification ID: 93E12
zbMATH DE Number: 4204210
zbMATH Keywords: model identification
zbMATH Keywords: truncated sinusoid method
zbMATH Keywords: random-indicator binary- search method
MaRDI profile type: Publication
cites work: Q3947020
cites work: Q3343279
cites work: On a spectral density estimate obtained by averaging periodograms
cites work: A functional limit theorem for tapered empirical spectral functions
cites work: Q3323320
cites work: Driving Frequency Selection for Frequency Domain Simulation Experiments
cites work: On frequency estimation
description: scientific article; zbMATH DE number 4204210