Design of frequency-domain experiments for discrete-valued factors
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.
scientific article; zbMATH DE number 4204210
scientific article