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用于信号特征提取和重建的脊提取算法
引用本文:张晓冬,王桥,吴乐南.用于信号特征提取和重建的脊提取算法[J].电子与信息学报,2003,25(7):878-883.
作者姓名:张晓冬  王桥  吴乐南
作者单位:东南大学无线电工程系,南京,210096
摘    要:该文论述了以信号在连续小波变换域上形成的脊作为信号特征进行信号的特征提取和信号重建的方法,并且将该理论应用到话音信号的处理中。仿真实验表明,对于最高频率为4kHz的语音信号来说,提取3~5条脊即可以很好地刻划信号的全部信息,重建的信号在主观感觉上达到了较好的效果。

关 键 词:连续小波变换    脊提取    信号重建
收稿时间:2002-1-17
修稿时间:2002年1月17日

Characterization extraction and reconstruction of signals by the ridges of continuous wavelet transform
Zhang Xiaodong,Wang Qiao,Wu Lenan.Characterization extraction and reconstruction of signals by the ridges of continuous wavelet transform[J].Journal of Electronics & Information Technology,2003,25(7):878-883.
Authors:Zhang Xiaodong  Wang Qiao  Wu Lenan
Institution:Dept. of Radio Engineering Southeast University Nanjing 210096 China
Abstract:The theory of detecting ridges in the modulus of the continuous wavelet transform is presented as well as reconstructing signal by using information on ridges. Application of the theory on speech signal is discussed in detail. Experimental result shows that as for signals with highest frequency at 4kHz, 3~5 ridges is enough to describe all of the information contained in the signal. The reconstructed signal reserves most of the necessary information of the original signal.
Keywords:Continuous wavelet transform  Ridge extraction  Signal reconstruction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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