Open AccessThe Power Spectral Density Based on Waveform Analysis for Computing Noise Level
Author(s) -
Humuntal Rumapea,
Marzuki Sinambela,
Surianto Sitepu,
Nogar Silitonga,
Indra Kelana Jaya
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1361/1/012003
Subject(s) - waveform , spectral density , noise (video) , noise spectral density , noise power , ambient noise level , spectral analysis , computer science , power (physics) , acoustics , telecommunications , physics , noise figure , artificial intelligence , bandwidth (computing) , amplifier , radar , quantum mechanics , spectroscopy , image (mathematics) , sound (geography)
Digital signal recordings in the waveform bands contain the noise, which importantly can be attributed to ambient and instrumental noise of recording system. We not only used the power spectral density (PSD) method but also computing the waveform spectral to knows a new model and performance based on recordings of KLNI (Mataram, NTB, Indonesia) and TWSI (Taliwang, NTB, Indonesia) stations from the entire BMKG Network made over 1 month period on August 2018. These cumulative PSD plots are generated, the good performance of each station based on the representative bedrock and cite of the noise level. The KLNI and TWSI stations have the highest background noise level.