摘要
本文提出用小波去噪后再运用经验模式分解(EMD)和希尔伯特变换方法提取信号瞬时特征。该方法克服了直接运用EMD分解方法由大量噪声带来的不必要的干扰,减少了EMD存在的边界效应和分解层数,提高参数提取的准确性和时效性,使算法在信号瞬时特征提取中更具有应用和研究前景。
This paper puts forward to extract instantaneous features of signal through utilizing the empirical mode decomposition and Hilbert transfer after the wavelet denoising. The method not only can extract the signal's instantaneous features, but also decrease the unnecessary noise influence upon the later decomposition, reduce the decomposition layers of signals and end effects of EMD, improve a lot in the speed of extraction and accuracy of the extracted parameters comparing with using EMD method directly. It makes this algorithm more vast application and research prospect in the fields of extracting instantaneous parameters of signals.
出处
《信号处理》
CSCD
2004年第5期512-516,共5页
Journal of Signal Processing
基金
国家自然科学基金对外合作项目(60111120662)
