2021/02/03 by Paulo Hubert, Hubert, Paulo, Linilson Rodrigues Padovese +1
Earth and Planetary Sciences · Engineering · #Advanced Chemical Sensor Technologies #Applications (stat.AP) #FOS: Computer and information sciences #Underwater Acoustics Research #Water Systems and Optimization
paper · pdf · doi:10.48550/arxiv.2102.02143
openalex publication_date 2021/02/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The study of the acoustic emission of underwater gas bubbles is a subject of\nboth theoretical and applied interest, since it finds an important application\nin the development of acoustic monitoring tools for detection and\nquantification of underwater gas leakages. An underlying physical model is\nessential in the study of such emissions, but is not enough: also some\nstatistical procedure must be applied in order to deal with all uncertainties\n(including those caused by background noise). In this paper we take a\nprobabilistic (Bayesian) methodology which is well known in the statistical\nsignal analysis communitiy, and apply it to the problem of estimating the radii\nof air bubbles in water. We introduce the bubblegram, a feature extraction\ntechnique graphically similar to the traditional spectrogram but tailored to\nrespond only to pulse structures that correspond to a given physical model. We\ninvestigate the performance of the bubblegram and our model in general using\nlaboratory generated data.\n