摘要
采用时域预加重处理方法对扬声器响应信号进行处理,并对其进行短时傅里叶变换(STFT),从变换后的扬声器响应信号时频图中可以得到更为明显的扬声器故障特征,为故障扬声器的时频特征提取提供了一种有效的预处理方法,实验结果显示故障识别率达98%以上。
The loudspeaker response signal is pretreated by the pre emphasis in time domain,and short-time Fourier transformed (STFT). Time-frequency characteristic of fault loudspeaker is obtained and more evident than before pretreatment, which provides a more effective method to recognize and identify the fault loudspeaker. Experimental results show that: the fault recognition rate can reach 98 % or more.
出处
《天津职业技术师范大学学报》
2012年第3期1-5,共5页
Journal of Tianjin University of Technology and Education
基金
天津职业技术师范大学科研发展基金项目(YJS10-11
KJY11-04)
关键词
预加重
短时傅里叶变换
时频特征
二维相关系数
pre emphasize
STFT
time-frequency characteristic
2D correlation coefficient