【摘 要】
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Background, Motivation and Objective The singular value decomposition (SVD) has been applied to analyze the dispersion of propagating multimode signals in cortical bone (Minonzio et al., JASA, 127(5),
【机 构】
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Department of Electronic Engineering, Fudan University, Shanghai, China, People's Republic of;Labor
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Background, Motivation and Objective The singular value decomposition (SVD) has been applied to analyze the dispersion of propagating multimode signals in cortical bone (Minonzio et al., JASA, 127(5), 2913- 19, 2010).The method involves a spatio-temporal Fourier transform, in which a SVD denoising step is added, of the temporal waveforms recorded by an array transducer with 5 emitters and 24 receivers (the response matrix).The strategy of the SVD-based noise reduction technique is to apply a SVD to the frequency response matrix and to discard small singular values and the corresponding singular vectors which mainly represent noise.The limited spatial sampling with a few tens of receiving points at the best, results in a poor resolution on the wavenumber k-axis, which prevents a clear identification of dispersion curves.
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