Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (25): 146-148.

• 数据库、信号与信息处理 • Previous Articles     Next Articles

Time-frequency structure of Gabor transform and bilinear time-frequency distribution

JIN Yinyan,YU Fengqin   

  1. School of Communication and Control Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-09-01 Published:2011-09-01

Gabor变换与双线性时频分布的时频结构

金银燕,于凤芹   

  1. 江南大学 通信与控制工程学院,江苏 无锡 214122

Abstract: Time-frequency clustering and cross-term are the main evaluation index to evaluate the performance of time-frequency distribution.Gabor transform is a linear transformation and doesn’t have cross-terms,while the bilinear time-frequency distribution has a good time-frequency clustering but has cross-terms.From the view of image processing,Gabor transform is combined with bilinear time-frequency distribution to dispose the time-frequency images,which can achieve good time-frequency concentration,and reduce the cross-terms of the time-frequency distribution.Simulation results show that the method can get more precise time-frequency structure of speech.

Key words: speech signal, Gabor transform, Wiger-Ville distribution, fine time-frequency structure

摘要: 时频聚集性和交叉项是衡量时频分布性能的主要评价指标。Gabor变换是一种线性变换且不存在交叉项,而双线性时频分布具有良好的时频聚集性但存在交叉项。从图像处理的角度对Gabor变换和双线性时频分布的时频图像进行处理,可以得到既具有良好的时频聚集性,又减少交叉项的时频分布。仿真实验表明这种方法可以得到更加精细的语音时频结构。

关键词: 语音信号, Gabor变换, Wiger-Ville分布, 精细时频结构