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MDPI AG
Multivariate Decomposition of Acoustic Signals in Dispersive Channels
We present a signal decomposition procedure, which separates modes into individual components while preserving their integrity, in effort to tackle the challenges related to the characterization of modes in an acoustic dispersive environment. With this approach, each mode can be analyzed and processed individually, which carries opportunities for new insights into their characterization possibilities. The proposed methodology is based on the eigenanalysis of the autocorrelation matrix of the analyzed...
Download 2021 Jonatan Lerga , Cornel Ioana , Eftim Zdravevski , Miloš Daković , Miloš Brajović , Isidora Stanković
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