Fig 11 -

<p>a. [7751-12250] part of the original signal. b. Multiscale decomposition algorithm for [7751-12250] part denoising processing. c. Kalman filter for [7751-12250] part denoising processing. d. Wavelet soft threshold for [7751-12250] part denoising processing. e. Wavelet hard threshold for [77...

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Bibliographic Details
Main Author:	Qiuping Shen (2562166) (author)
Other Authors:	Yunqing Liu (553987) (author), Dongpo Xu (1700188) (author), Fei Yan (128878) (author), Siyuan Wu (1402870) (author), Xin Chen (14149) (author)
Published:	2024
Subjects:	Biophysics Molecular Biology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified unstable gradient changes natural environmental changes momentum gradient descent improve convergence speed gravitational wave signals gravitational wave signal experimental results demonstrate detecting gravitational waves automatically adjust weights variational mode algorithm algorithm performs better effectively suppressing noise effectively reducing noise noise suppression requirements noise suppression algorithm combines xlink "> thereby mitigating terrestrial vibrations reduce oscillations random sources paper proposes multiscale decomposition multiscale concepts factors intrinsic
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Summary:	<p>a. [7751-12250] part of the original signal. b. Multiscale decomposition algorithm for [7751-12250] part denoising processing. c. Kalman filter for [7751-12250] part denoising processing. d. Wavelet soft threshold for [7751-12250] part denoising processing. e. Wavelet hard threshold for [7751-12250] part denoising processing.</p>

Fig 11 -

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