Search alternatives:
sources detection » source detector (Expand Search), stress detection (Expand Search), source reduction (Expand Search)
sources detection » source detector (Expand Search), stress detection (Expand Search), source reduction (Expand Search)
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Algorithm parameter settings employed in the experiments on simulated data.
Published 2024Subjects: -
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Convergence speed of the improved algorithm.
Published 2024“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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The gene network of the epistatic interactions detected for Bipolar Disorder.
Published 2024Subjects: -
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The SNP network of the epistatic interactions detected for Bipolar Disorder.
Published 2024Subjects: -
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Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA.
Published 2024Subjects: -
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Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA.
Published 2024Subjects: -
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Part of genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA.
Published 2024Subjects: -
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Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA.
Published 2024Subjects: -
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Passive Sources and Diffracted Points Imaging Using Combinational Cross-correlation Imaging Condition
Published 2024“…We combined the two imaging algorithms and proposed a combinational cross-correlation reverse time migration (CcRTM) to image multiple sources. …”
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Structure diagram of the adaptive filter.
Published 2024“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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LMS suppression modal component diagram.
Published 2024“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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Space gravitational wave signal GW170817 diagram.
Published 2024“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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Space gravitational wave signal GW150914 diagram.
Published 2024“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”
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Space gravitational wave signal GW170104 diagram.
Published 2024“…Additionally, the algorithm combines the least mean squares algorithm to automatically adjust weights, thereby mitigating the impact of noise, addressing the issue of noise from multiple and random sources, effectively suppressing noise in the gravitational wave signal, and enhancing the quality and reliability of the gravitational wave signal. …”