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Achieves 15% Noise Reduction In Gravitational Waves Via Learnable Wavelets
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Achieves 15% Noise Reduction In Gravitational Waves Via Learnable Wavelets
Researchers have developed a new wavelet-based machine learning network that efficiently identifies and reduces disruptive noise in gravitational wave data, potentially increasing the detection range of black hole mergers by up to 15%.
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