@article{eaeebd23c86146249bf26f3ef56c05a5,
title = "Investigation of Single-Station Classification for Short Tectonic Tremor in Taiwan",
abstract = "Tectonic tremor in Taiwan is known for its short duration and weak amplitude. Recent observations from the mountain area (Central Range) allows us to document such type of tectonic tremor recorded at a close distance and to investigate a single station technique for a minute-long tremor. To effectively distinguish tremor from earthquakes and noise, we applied the Fisher's class separability criterion to automatically select the optimal feature subset from a set of commonly adopted feature candidates. During the study period of 1 January to 16 September 2016 when a local seismic array was deployed, we successfully differentiated tremor from local earthquakes and noise with high accuracy of 86.6% to 98.9% from three stations using a k-nearest neighbors classifier. Other than the maximum amplitude, number of peaks, and energy of the 2- to 8-Hz passband, the spikiness of discrete Fourier transforms median in time is also found to be important to separate tremor from noise.",
keywords = "classification, Fisher's class separability, k-nearest neighbor, machine learning, single-station classification, tectonic tremor",
author = "Liu, {Yi Hung} and Yeh, {Ting Chen} and Chen, {Kate Huihsuan} and Yaochieh Chen and Yen, {Yuan Yi} and Yen, {Horng Yuan}",
note = "Funding Information: Support for this work was provided by MOST Grants 103-2116-M-003-001-MY5, 107-2911-I-003-507, and 107-3011-F-027-002. Seismic data are archived at the Central Weather Bureau Seismic Network (http://gdms.cwb.gov.tw/index.php) and the Broadband Array in Taiwan for Seismology operated by IES (http://bats.earth.sinica.edu.tw/Data/index.html). We greatly appreciate helpful comments from Cl?ment Hibert and the other anomalous reviewer. We also like to thank editor Ben-Zion Yehuda for his effort on improving this manuscript. We would like to thank Uni-edit (www.uni-edit.net) for editing and proofreading this manuscript. Publisher Copyright: {\textcopyright}2019. American Geophysical Union. All Rights Reserved.",
year = "2019",
month = aug,
day = "1",
doi = "10.1029/2019JB017866",
language = "English",
volume = "124",
pages = "8803--8822",
journal = "Journal of Geophysical Research: Solid Earth",
issn = "2169-9313",
number = "8",
}