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Electrocardiogram Denoised Signal by Discrete Wavelet Transform and Continuous Wavelet Transform

机译:离散小波变换和连续小波变换的心电图降噪信号

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摘要

One of commonest problems in electrocardiogram (ECG) signal processing is denoising. In this paper a denoising technique based on discrete wavelet transform (DWT) has been developed. To evaluate proposed technique, we compare it to continuous wavelet transform (CWT). Performance evaluation uses parameters like mean square error (MSE) and signal to noise ratio (SNR) computations show that the proposed technique out performs the CWT.
机译:心电图(ECG)信号处理中最常见的问题之一是降噪。本文提出了一种基于离散小波变换(DWT)的去噪技术。为了评估提出的技术,我们将其与连续小波变换(CWT)进行比较。性能评估使用诸如均方误差(MSE)和信噪比(SNR)之类的参数,计算结果表明所提出的技术可以执行CWT。

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