Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova

• Item type: National Convention(1)
• 公開日: 2021-03-04
• タイトル: Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: ソフトウェア科学・工学
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: Nagaoka University of Technology
• 著者所属: Nagaoka University of Technology
• 著者所属: Osaka City University
• 著者所属: Osaka City University
• 著者所属: Niigata University
• 著者所属: National Astronomical Observatory of Japan
• 著者所属: Fukuoka University
• 著者所属: Tokyo City University
• 著者名: Malith, De Silva; Katsuko, T. Nakahira; Mei, Takeda; Nobuyuki, Kanda; Ken-ichi, Oohara; Tomoya, Takiwaki; Kei, Kotake; Hirotaka, Takahashi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00349328
• 書誌情報: 第83回全国大会講演論文集; 巻 2021, 号 1, p. 207-208, 発行日 2021-03-04
• 出版者 / 言語: ja
• 出版者: 情報処理学会