摘要
为了改变常用心理声学模型中均匀谱分析造成的时频分辨率不足的问题,采用小波包分解对信号进行分析。通过Matlab对信号进行小波包分解处理,代替常用心理声学模型的FFT,改善了时频分辨率不足的问题,且通过小波包分解得到的频带划分,比常用心理声学模型得到的频带划分更接近于人耳的临界频带,更适应于人耳的听觉特性。
In order to improve insufficient time-frequency resolution which uniform spectrum analysis causes, use wavelet packet decomposition to analyze signal. Instead FFT with wavelet packet decomposition by matlab, we improve the situation of insufficient time-frequency resolution, in addition, frequency division by wavelet packet decomposition is much closer to human＇s critical band than the way common psychoacoustic model getting, it is more suitable to human＇s hearing characteristics.
出处
《电子设计工程》
2013年第3期115-117,共3页
Electronic Design Engineering
基金
陕西省教育厅基金项目(11JK0548)
关键词
心理声学模型
均匀谱分析
时频分辨率
小波包分解
psychoacoustic model
uniform spectrum
time-frequency resolution
wavelet packet decomposition
