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• W3049309707 abstract "Time-Frequency Analysis of the earthquake signals has long been an important issue for some reason. However, the impact of the Padang Lawas earthquake upon the environment is a range out within minute affectation fatalities that may last for a long time. Signal identification generated by a seismic waveform had been analyzed based on time-frequency analysis using wavelet transform. The goal of this study to classify and detect the waveform of earthquake signals from Padang Lawas event 2020. The result is then discussed in the context of the potential use of the proposed for a new perspective for the classification of earthquake phases in vertical channel signals data collected within broadband recording stations in Northern Sumatera. The result indicated the high energy was concentrated in 1 – 0.1 Hz for BKNI, GSI, KCSI, and MNSI. The spectral decomposition of the high energy still concentrated in 0.1-1 Hz for KUSI, MTSI and TSI." @default.
• W3049309707 created "2020-08-21" @default.
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• W3049309707 date "2020-06-01" @default.
• W3049309707 modified "2023-09-25" @default.
• W3049309707 title "Time-Frequency Analysis of Digital Broadband Station Based on Padang Lawas Earthquake" @default.
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• W3049309707 doi "https://doi.org/10.1109/mecnit48290.2020.9166633" @default.
• W3049309707 hasPublicationYear "2020" @default.
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