Filtering Wind in Infrasound Data by Non-Negative Matrix Factorization

2014/09/01 by Roberto Carniel, G. Cabras, Mie Ichihara +1 · 1 voice
Computer Science · Earth and Planetary Sciences · #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis #Seismology and Earthquake Studies

paper · doi:10.1785/0220130142

openalex publication_date 2014/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

Infrasonic data at volcanoes have been increasingly analyzed to get information about eruptive activity. Wind noise is an im-portant problem, which cannot be solved using more classical seismological techniques such as deconvolution (Robinson,

Discussions

• ⭐️Filtering Wind in Infrasound Data by Non‐Negative Matrix Factorization, R. Carniel et al. (2014), doi.org/10.1785/0220... Available until April 29, 2024 #SRL (9/n) [bsky, 0 points, 1 comments]

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