Hyper-trim shrinkage for denoising of ECG signal

被引：35
|
作者：
Poornachandra, S [1 ]
Kumaravel, N
机构：
[1] SSN Coll Engn, Dept ECE, Madras, Tamil Nadu, India
[2] Anna Univ, Dept ECE, Madras 600025, Tamil Nadu, India
来源：
DIGITAL SIGNAL PROCESSING | 2005年 / 15卷 / 03期
关键词：
wavelet transform; hyper-trim shrinkage; alpha-trimmed filter; shrinkage function; firm shrinkage; non-negative garrote shrinkage;
D O I：
10.1016/j.dsp.2004.12.005
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码：317 / 327
页数：11
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