文件名称:dimensionalspectral
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小波变换是一种线性运算 , 它对信号进行不同尺度的分解 , 可有效地应用于如
信噪分离 , 提高时频两域的分辩率等 。本文讨论小波变换用于心电 Q RS 波形中细微特征
( 即高频成份特征 ) 提取的方法.-Wavelet transform is a linear operation, its signal is decomposed at different scales, can be effectively used as the signal to noise separation, the two time-frequency domain, such as to improve the resolution. This article discusses the wavelet transform of ECG waveform Q RS subtle features (ie, features high-frequency components) extraction method.
信噪分离 , 提高时频两域的分辩率等 。本文讨论小波变换用于心电 Q RS 波形中细微特征
( 即高频成份特征 ) 提取的方法.-Wavelet transform is a linear operation, its signal is decomposed at different scales, can be effectively used as the signal to noise separation, the two time-frequency domain, such as to improve the resolution. This article discusses the wavelet transform of ECG waveform Q RS subtle features (ie, features high-frequency components) extraction method.
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