计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (25): 146-148.
• 数据库、信号与信息处理 • 上一篇 下一篇
金银燕，于凤芹
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JIN Yinyan，YU Fengqin
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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
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
金银燕，于凤芹. Gabor变换与双线性时频分布的时频结构[J]. 计算机工程与应用, 2011, 47(25): 146-148.
JIN Yinyan，YU Fengqin. Time-frequency structure of Gabor transform and bilinear time-frequency distribution[J]. Computer Engineering and Applications, 2011, 47(25): 146-148.
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