摘要
为了准确提取信号所包含的主要频率分量,对多分量非平稳声信号进行了时频分析。利用短时傅立叶变换将多分量非平稳声信号由时域变换到时频域,根据谱图提取信号的主要频率分量。分析结果表明:多分量非平稳信号的各主要频率分量及其时频域特性参数可以准确提取。短时傅立叶变换是提取多分量非平稳声信号主要频率分量的有效方法。
In order to extract major components of signal,multi-component nonstationary acoustic signal was analyzed with time-frequency analysis technique.By transforming multi-component nonstationary acoustic signal from time domain to time-frequency domain with short time Fourier transform,major components were determined according to spectrogram.Results show that major components and its time-frequency characteristic parameters can be extracted exactly.Short time Fourier transform is an effective method for extracting major components of nonstationary acoustic signal.
出处
《微计算机信息》
2010年第1期37-38,共2页
Control & Automation
基金
基金申请人:仪垂杰
项目名称:基于舱音分析的飞行员操作反演研究
基金颁发部门:国家自然科学基金委(60772149)
关键词
短时傅立叶变换
多分量非平稳声信号
时频分析
short time Fourier transform
multi-component nonstationary acoustic signal
time-frequency analysis
