Specifications

Document type: Journal article (JA)
Publisher: World Scientific Publishing Co. Pte. Ltd, 5 Toh Tuck Link, Singapore, 596224,
Singapore
Abstract: The random interpolation average (RIA) is a simple yet good denoising method. It
firstly employed several times of random interpolations to a noisy signal, then applied the
wavelet transform (WT) denoising to each interpolated signal and averaged all of the denoised
signals to finish the denoising process. In this paper, multiple wavelet bases and the
level-dependent threshold estimator were used in the RIA scheme so that it can be more suitable
for the electrocardiogram (ECG) signal denoising. The synthetic ECG signal, real ECG signal and
four types of noise were used to perform comparison experiments. The results show that the
proposed method can provide the best signal to noise ratio (SNR) improvement in the deoising
applications of the synthetic ECG signal and the real ECG signals. For the real ECG signals
denoising, the average SNR improvement is 5.886 dB, while the result of the RIA scheme with
single wavelet basis (RIAS), the fully translation-invariant [TI (fully)] and the WT denoising using
hard thresholding [WT (hard)] are 5.577, 5.274 and 3.484 dB, respectively. © 2013 National
Taiwan University.
Number of references: 23
Main heading: Signal denoising
Controlled terms: Electrocardiography - Interpolation - Signal to noise ratio -
Wavelet analysis - Wavelet transforms
Uncontrolled terms: De-noised signals - Denoising methods - Electrocardiogram signal
- Hard thresholding - Random interpolation average - SNR improvement -
Translation invariants - Wavelet basis
Classification code: 701.1 Electricity: Basic Concepts and Phenomena - 716.1 Information
Theory and Signal Processing - 921 Mathematics
DOI: 10.4015/S1016237213500427
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
17.
Accession number: 20133516678620
Title: Non-contact loading of high speed motorized spindle
Authors: Zhou, Xuntong1 ; Liu, Hongzhao1 ; Qiu, Ronghua1 ; Liu, Lilan1 ; Yuan, Daning1/;刘宏
昭;;刘丽兰;原大宁
Author affiliation: 1 School of Mechanical and Instrumental Engineering, Xi'an University of
Technology, Xi'an 710048, China
Corresponding author: Liu, H. ([e-mail])
Source title: Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University
(Science and Technology)
Abbreviated source title: Zhongnan Daxue Xuebao (Ziran Kexue Ban)
Volume: 44
Issue: 7
Issue date: July 2013
Publication year: 2013