Premium
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom