基于自适应小波阈值函数的心电信号去噪
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引用本文:吴怀选,张磊,符楚君,杨永霞.基于自适应小波阈值函数的心电信号去噪[J].计算技术与自动化,2019,(2):80-84
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吴怀选,张磊,符楚君,杨永霞 (广东药科大学 医药信息工程学院广东 广州 510006) 
中文摘要:小波域去噪分析中,面对硬阈值函数不连续性在去噪过程中可能产生的振荡失真,软阈值函数在去噪过程中估计小波系数和分解小波系数之间的恒定偏差。提出了新的阈值函数,它连续性好且高阶可导,便于进行各种数学运算处理,能克服传统软硬阈值函数在去噪中的不足,达到更好去除噪声的效果。用新建的阈值函数对噪声信号进行仿真去噪,仿真实验数据表明,新阈值函数去噪效果优于传统的软硬阈值函数和一些现有的其它阈值函数法去噪。实验证明新的阈值函数实用可行。
中文关键词:小波变换  阈值函数  小波阈值去噪  信噪比  均方差
 
Ecg Signal De-noising Based on Adaptive Wavelet Threshold Function
Abstract:In the wavelet domain de-noising analysis,in the face of the hard threshold function discontinuity,oscillation distortion may be produced in the process of de-noising. Soft threshold function makes constant deviation between estimating wavelet coefficients in the process of de-noising and decomposition of wavelet coefficients.This paper puts forward a new threshold function,which can guide good continuity and high order,convenient for various mathematical processing,can overcome the deficiency of traditional soft hard threshold function in the de-noising,get rid of the noise to achieve better effect. Using the new threshold function of the noise signal de-noising simulation,simulation experiment data show that the new de-noising threshold function is better than traditional hard and soft threshold function and some other existing threshold de-noising function method. The experiment proves that the new threshold function is practical and feasible.
keywords:wavelet transform  threshold function  wavelet threshold de-noising  signal to noise ratio(SNR)  mean squared error(MSE)
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