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Hyper-trim shrinkage for denoising of ECG signal

Authors
Journal
Digital Signal Processing
1051-2004
Publisher
Elsevier
Publication Date
Volume
15
Issue
3
Identifiers
DOI: 10.1016/j.dsp.2004.12.005
Keywords
  • Wavelet Transform
  • Hyper-Trim Shrinkage
  • α-Trimmed Filter
  • Shrinkage Function
  • Firm Shrinkage
  • Non-Negative Garrote Shrinkage

Abstract

Abstract We introduce a new shrinkage scheme, hyper-trim that generalizes hard and soft shrinkage proposed by Donoho and Johnstone (1994). The new adaptive denoising method presented is based on Stein's unbiased risk estimation (SURE) and on a new class of shrinkage function. The proposed new class of shrinkage function has continuous derivative. The shrinkage function is simulated and tested with ECG signals added with standard Gaussian noise using MATLAB. This method gives better mean square error (MSE) performance over conventional wavelet shrinkage methodologies.

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