@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00214712,
 author = {Malith, De Silva and Katsuko, T. Nakahira and Mei, Takeda and Nobuyuki, Kanda and Ken-ichi, Oohara and Tomoya, Takiwaki and Kei, Kotake and Hirotaka, Takahashi},
 book = {第83回全国大会講演論文集},
 issue = {1},
 month = {Mar},
 note = {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.},
 pages = {207--208},
 publisher = {情報処理学会},
 title = {Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova},
 volume = {2021},
 year = {2021}
}