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史坦无偏似然估计原理产生阈值对人体胸壁微动信号的“WaveShrink”降噪

The Application of WaveShrink Denoising with Threshold Generated by Stein's Unbiased Risk Estimate in Analysis of Oscillations in Chest Wall
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摘要 人体胸壁微动信号中包含大量的生命体征信息。本文采用史坦无偏似然估计原理产生阈值 ,应用“WaveShrink”算法从胸壁微动信号中提取心动信号 。 The oscillations in chest wall consist many life characteristics.In this paper,WaveShrink Denoising with Threshold Generated by Stein's Unbiased Risk Estimate is employed to pick up the signal of heart beat.The secret of the oscillations in chest wall is exploited scalably.
出处 《医疗装备》 2003年第5期3-4,共2页 Medical Equipment
关键词 史坦无偏似然估计原理 阈值 人体胸壁微动信号 “WaveShrink”算法 微波 检测 Stein's Unbiased Risk Estimate WaveShrink Denoising
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参考文献3

  • 1杨福生.《小波变换的工程分析与应用》[M].北京:科学出版社,2000.1-70.
  • 2De- Noising by Soft- rflaesholding by David L. Donoho IEEE Tran. On Inform. Theory. Vol. 41. NO. 3. pp.613-627, 1995.
  • 3Wavelet Shrinkage for Correlated data Inverse Problems Adatxivity Results by Iain. M. Johnstone research report SRR-98-001.

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