摘要
利用FFT分析方法,对环境中存在的267种9大类声音信号进行了分析并对其频谱分析参数进行了统计处理,了解其基频与最大谐波频率分布的特点。对基频频率较低的信号进行小波变换处理后,其三维图均发生了明显的变化,低频段变化被明显放大,可以更加清楚地表现信号低频部分的变化,有利于较低频段信息的更精确提取。
Using the method of FFT, we analyzed 9 categories of environmental sound signals (altogether 267 kinds) around us. Statistic at treatment about the parameters of spectrographic analysis is used to find out the distribution characteristic of the fundamental frequency and the max harmonic frequency. After the signals of low fundamental frequency processed by wavelet transform, we found that the 3-D sonogram changed obviously, and the segment of low frequency signals magnified significantly. The changes of low frequency signals facilitate the detection of it.
出处
《中国医学物理学杂志》
CSCD
2004年第3期161-164,共4页
Chinese Journal of Medical Physics
基金
国家自然科学基金资助项目(39170833)
关键词
环境声音信号
FFT
小波变换
三维声图
environmental sound signals
FFT
wavelet transform
3-D sonogram
