Samuel Yaw Mensah1, Tao Zhang2, Xin Zhao2

  • 1School of Information Engineering, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China.

PubMed
概括

这项研究引入了一种统一的贝叶斯-卡尔曼估计器 (UBKE),用于在挑战非静止噪声时实时声学增强. 该UBKE自适应地融合了光谱和时间信息,显著提高了低延迟的信号质量.

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Sampling Continuous Time Signal

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Aliasing01:18

Aliasing

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Perceiving Loudness, Pitch, and Location

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Basic Continuous Time Signals01:22

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