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小波包可以将信号按任意时频分辨率分解到不同频段,因此本文在经典的小波软、硬阈值消噪方法的基础上,提出了一种基于小波包分析的改进方法,根据噪声通常表现为高频信号的特性,将其应用于睡眠脑电信号中噪声的消除。本文中介绍了小波包的阈值消噪原理和算法,以Matlab仿真结果表明了改进方法的优越性。
Wavelet packets can decompose the signal into different frequency bands according to any time-frequency resolution. Based on the classic wavelet soft and hard threshold de-noising methods, an improved method based on wavelet packet analysis is proposed. According to the noise The characteristics of high-frequency signals, the noise applied to sleep EEG to eliminate. In this paper, the threshold denoising principle and algorithm of wavelet packet are introduced. The result of Matlab simulation shows the superiority of the improved method.