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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Sequential Algorithm for Signal Segmentation

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Hubert, Paulo [1] ; Padovese, Linilson [2] ; Stern, Julio Michael [1]
Total Authors: 3
[1] Univ Sao Paulo, IME, BR-05508090 Sao Paulo - Brazil
[2] Univ Sao Paulo, EP, Mech Engn Dept, BR-05508010 Sao Paulo - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Entropy; v. 20, n. 1 JAN 2018.
Web of Science Citations: 2

The problem of event detection in general noisy signals arises in many applications; usually, either a functional form of the event is available, or a previous annotated sample with instances of the event that can be used to train a classification algorithm. There are situations, however, where neither functional forms nor annotated samples are available; then, it is necessary to apply other strategies to separate and characterize events. In this work, we analyze 15-min samples of an acoustic signal, and are interested in separating sections, or segments, of the signal which are likely to contain significant events. For that, we apply a sequential algorithm with the only assumption that an event alters the energy of the signal. The algorithm is entirely based on Bayesian methods. (AU)

FAPESP's process: 16/02175-0 - Underwater Soundscapes in the São Paulo State Coast
Grantee:Linilson Rodrigues Padovese
Support type: Regular Research Grants
FAPESP's process: 14/50279-4 - Brasil Research Centre for Gas Innovation
Grantee:Julio Romano Meneghini
Support type: Research Grants - Research Centers in Engineering Program
FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:José Alberto Cuminato
Support type: Research Grants - Research, Innovation and Dissemination Centers - RIDC