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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Detalles Bibliográficos
Autores principales: Wang, Yubo, Veluvolu, Kalyana C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492605/
https://www.ncbi.nlm.nih.gov/pubmed/28613239
http://dx.doi.org/10.3390/s17061386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492605/
https://www.ncbi.nlm.nih.gov/pubmed/28613239
http://dx.doi.org/10.3390/s17061386

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