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DISTORTION-FREE BOUNDARY EXTENSION METHOD FOR ONLINE WAVELET DENOISING

机译:在线小波去噪的无失真边界扩展方法

摘要

The present disclosure provides a distortion-free boundary extension method for online wavelet denoising. The method includes: S1: acquiring a signal segment xn, and performing a distortion-free boundary extension on the signal segment to obtain M+N+L data; S2: decomposing a lifting wavelet of the N data to be denoised into j layers to acquire approximation coefficients and detail coefficients; S3: calculating a threshold of each layer of the lifting wavelet; S4: thresholding the detail coefficients of each layer to obtain estimated values of the detail coefficients; S5: performing wavelet reconstruction by the approximation coefficients and the estimated values of the detail coefficients obtained by thresholding to obtain a reconstructed signal after denoising; and S6: outputting data.
机译:本公开提供了一种用于在线小波去噪的无失真边界延伸方法。 该方法包括:S1:获取信号段XN,并在信号段上执行无失真边界扩展,以获得M + N + L数据; S2:将N个数据的提升小波分解为J层被去噪,以获取近似系数和细节系数; S3:计算升降小波的每层的阈值; S4:阈值处理每层的细节系数,以获得细节系数的估计值; S5:通过近似系数执行小波重建,并且通过阈值处理获得的细节系数的估计值以在去噪之后获得重建信号; 和S6:输出数据。

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