Subband-adaptive shrinkage for denoising of ECG signals

被引：7

作者：

Poornachandra, S. ^{[1
]}

Kumaravel, N.

机构：

[1] Anna Univ, SSN Coll Engn, Dept Biomed Engn, Madras 600025, Tamil Nadu, India

[2] Anna Univ, Dept Elect & Commun Engn, Madras 600025, Tamil Nadu, India

来源：

EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING | 2006年 / 2006卷 / 1期

关键词：

Shrinkage; Information Technology; Gaussian Noise; Quantum Information; Data Compression;

D O I：

10.1155/ASP/2006/81236

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：

This paper describes subband dependent adaptive shrinkage function that generalizes hard and soft shrinkages proposed by Donoho and Johnstone (1994). The proposed new class of shrinkage function has continuous derivative, which has been simulated and tested with normal and abnormal ECG signals with added standard Gaussian noise using MATLAB. The recovered signal is visually pleasant compared with other existing shrinkage functions. The implication of the proposed shrinkage function in denoising and data compression is discussed. Copyright (C) 2006 Hindawi Publishing Corporation. All rights reserved.

引用

页数：9

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