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Natural resonance extraction from multiple data sets using physical constraints
Author(s) -
Ilavarasan Ponniah,
Rothwell Edward J.,
Chen Kun Mu,
Nyquist Dennis P.
Publication year - 1994
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/93rs02086
Subject(s) - extraction (chemistry) , pulse (music) , basis (linear algebra) , amplitude , resonance (particle physics) , acoustics , noise (video) , signal to noise ratio (imaging) , computer science , signal (programming language) , algorithm , mathematics , physics , statistics , optics , telecommunications , artificial intelligence , atomic physics , chemistry , geometry , chromatography , detector , image (mathematics) , programming language
This paper presents a scheme to extract natural frequencies from multiple data sets using an E pulse technique. Physical constraints are placed on the amplitudes of the E pulse basis functions to prevent the extracted damping coefficients from being positive, as often happens with low signal‐to‐noise ratio (snr) data. The constrained technique is compared to the usual E pulse extraction technique to show the improvement in the estimated natural frequencies.