小波
信号(编程语言)
降噪
计算机科学
模式识别(心理学)
噪音(视频)
人工智能
信号处理
小波变换
语音识别
算法
电信
图像(数学)
程序设计语言
雷达
作者
Brij N. Singh,Arvind Kumar Tiwari
标识
DOI:10.1016/j.dsp.2005.12.003
摘要
Over the years ElectroCardioGram (ECG) signal has been used to assess the cardiovascular condition of humans. In practice, real time acquisition and transmission of the ECG may contain noise signals superimposed on it. In general, the signal processing algorithms employed for denoising provide optimal performance and eliminate the high frequency noise between any two beats contained in a continuous ECG signal. Despite their optimal performance, the signal processing algorithms significantly attenuate the peaks of characteristics wave of the ECG signal. This paper presents a selection procedure of mother wavelet basis functions applied for denoising of the ECG signal in wavelet domain while retaining the signal peaks close to their full amplitude. The obtained wavelet based denoised ECG signals retain the necessary diagnostics information contained in the original ECG signal.
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