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Time-Frequency Analysis of Non-Stationary Biological Signals with Sparse Linear Regression Based Fourier Linear Combiner

It is often difficult to analyze biological signals because of their nonlinear and non-stationary characteristics. This necessitates the usage of time-frequency decomposition methods for analyzing the subtle changes in these signals that are often connected to an underlying phenomena. This paper pre...

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Bibliografische gegevens
Gepubliceerd in:Sensors (Basel)
Hoofdauteurs: Wang, Yubo, Veluvolu, Kalyana C.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2017
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5492605/
https://ncbi.nlm.nih.gov/pubmed/28613239
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17061386
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