【摘要】 小波变换在时、频两域均具有表征信号局部特征的能力,是描述和检测信号局部性质的有效手段;利用小波变换模极大值能检测出信号上的所有奇异点,根据小波变换模极大值随尺度的增、减规律,去除噪声对应的极值点,再由模极大值重构信号,提出了小波变换基于奇异信号的消噪方法,并应用于对一瞬时心率信号进行消噪。更多还原

【Abstract】 Wavelet transform has the ability of expressing signal’s singularity in time and frequency field,is an effective measurement to describe and detect signal’s partial property.It can detect all singularity points of signals for utilizing modular maximum of wavelet transform.We can remove the noise maximum point,bases on the increase or decrease discipline of wavelet transform modular maximum along with scales,and use the modular maximum to reconstruct signal,put forward a de-noise method based on signal’s singularity with wavelet transform,and apply it to de-noise a signal of heart rate.更多还原