文件名称:RidgeEEMD
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- 上传时间:2014-04-15
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R-EEMD facilitates
nonuniform and trial-dependent weights obtained by an
optimization procedure during ensemble combination and results
in less decomposition errors when compared with the conventional
ensemble empirical mode decomposition techniques. A theoretic
result is then extended to demonstrate that R-EEMD has an ability
to solve the mode mixing problem frequently encountered in EMD
and improve the decomposition performance with adequate noise
strength when separating a composite two-tone signal. Based on
the proposed R-EEMD framework, a novel clutter rejection filter
for ultrasound color flow imaging is designed
nonuniform and trial-dependent weights obtained by an
optimization procedure during ensemble combination and results
in less decomposition errors when compared with the conventional
ensemble empirical mode decomposition techniques. A theoretic
result is then extended to demonstrate that R-EEMD has an ability
to solve the mode mixing problem frequently encountered in EMD
and improve the decomposition performance with adequate noise
strength when separating a composite two-tone signal. Based on
the proposed R-EEMD framework, a novel clutter rejection filter
for ultrasound color flow imaging is designed
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print_A Ridge Ensemble Empirical Mode Decomposition.pdf
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