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• W2018581451 abstract "The parameters of ultrasonic guided waves (GWs) are very sensitive to mechanical and structural changes in long cortical bones. However, it is a challenge to obtain the group velocity and other parameters of GWs because of the presence of mixed multiple modes. This paper proposes a blind identification algorithm using the joint approximate diagonalization of eigen-matrices (JADE) and applies it to the separation of superimposed GWs in long bones. For the simulation case, the velocity of the single mode was calculated after separation. A strong agreement was obtained between the estimated velocity and the theoretical expectation. For the experiments in bovine long bones, by using the calculated velocity and a theoretical model, the cortical thickness (CTh) was obtained. For comparison with the JADE approach, an adaptive Gaussian chirplet time-frequency (ACGTF) method was also used to estimate the CTh. The results showed that the mean error of the CTh acquired by the JADE approach was 4.3%, which was smaller than that of the ACGTF method (13.6%). This suggested that the JADE algorithm may be used to separate the superimposed GWs and that the JADE algorithm could potentially be used to evaluate long bones." @default.
• W2018581451 created "2016-06-24" @default.
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• W2018581451 creator A5034184452 @default.
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• W2018581451 date "2011-10-01" @default.
• W2018581451 modified "2023-10-16" @default.
• W2018581451 title "Analysis of Superimposed Ultrasonic Guided Waves in Long Bones by the Joint Approximate Diagonalization of Eigen-matrices Algorithm" @default.
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• W2018581451 doi "https://doi.org/10.1016/j.ultrasmedbio.2011.06.028" @default.
• W2018581451 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21924208" @default.
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