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弦乐合弦声信号时频特征的小波包分析
引用本文:李功宇,郑华文,胡持平. 弦乐合弦声信号时频特征的小波包分析[J]. 昆明理工大学学报(自然科学版), 2003, 28(4): 36-39
作者姓名:李功宇  郑华文  胡持平
作者单位:昆明理工大学机电工程学院,云南,昆明,650093
摘    要:利用小波包分析技术对弦乐合弦声信号进行时频分析,并采用Hilbert变换对小波分解系数时域重构信号进行包络线检波,得到了合弦声信号幅值的时频等高线相平面图.与传统傅里叶谱分析技术相比较,小波变换的时频相平面图能同时反映合弦声信号的构成频率成分及其时域特征.

关 键 词:小波包分析 时频分析 Hilbert变换 合弦声信号 弦乐 吉它 频率 傅里叶谱分析 信号重构
文章编号:1007-855X(2003)04-0036-04
修稿时间:2002-06-10

Analysis of Time - Frequency Domain Characteristics of String Music Chord Sound Based on Wavelet Packet technique
LI Gong yu,ZHENG Hua wen,HU Chi ping. Analysis of Time - Frequency Domain Characteristics of String Music Chord Sound Based on Wavelet Packet technique[J]. Journal of Kunming University of Science and Technology(Natural Science Edition), 2003, 28(4): 36-39
Authors:LI Gong yu  ZHENG Hua wen  HU Chi ping
Abstract:The musical chord sounds, played by a guitar, are analyzed on time-frequency domain based on the wavelet packet method. Compared with the traditional Fourier Transform, the wavelet time-frequency images, which reflects time & frequency characteristics of signals simultaneously, are more suitable for analyzing signals with time variant characteristics.
Keywords:wavelet packet  signal reconstruction  time-frequency domain analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
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