Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova
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説明
With the strain sensitivity improvement of the next generation GW detectors, it is expected to detect GW from SN being SN as one of the promising sources. Therefore, data analysis of GW from SN is essential, however, the identification of frequency features is the main issue by the conventional method Short Time Fourier Transform (STFT) due to low resolution nature. This research work focused on the comparison of effectiveness of identification of frequency features by STFT and Hilbert-Huang Transform (HHT) due to HHT having high resolution nature. Comparison of effectiveness of STFT and HHT on analysis of GW is reported.
収録刊行物
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- 第83回全国大会講演論文集
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第83回全国大会講演論文集 2021 (1), 207-208, 2021-03-04
情報処理学会
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詳細情報 詳細情報について
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- CRID
- 1050011097133783040
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- NII論文ID
- 170000187344
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- NII書誌ID
- AN00349328
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- 本文言語コード
- en
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- 資料種別
- conference paper
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- データソース種別
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- IRDB
- CiNii Articles