Divergence-Based Segmentation Algorithm for Heavy-Tailed Acoustic Signals with Time-Varying Characteristics

Many real-world systems change their parameters during the operation. Thus, before the analysis of the data, there is a need to divide the raw signal into parts that can be considered as homogeneous segments. In this paper, we propose a segmentation procedure that can be applied for the signal with...

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Detalles Bibliográficos
Autores principales: Grzesiek, Aleksandra, Gąsior, Karolina, Wyłomańska, Agnieszka, Zimroz, Radosław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709018/
https://www.ncbi.nlm.nih.gov/pubmed/34960579
http://dx.doi.org/10.3390/s21248487

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709018/
https://www.ncbi.nlm.nih.gov/pubmed/34960579
http://dx.doi.org/10.3390/s21248487

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