Tracking of time-frequency components using particle filtering

被引：0
|
作者：
Dubois, C [1 ]
Davy, M [1 ]
Idier, J [1 ]
机构：
[1] IRCCyN, UMR 6597, F-44321 Nantes, France
来源：
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates a new method for the extraction of spectral trajectories from nonstationary multicomponent narrow band signals. The main idea is to apply statistical filtering so as to track frequency trajectories in the Short Term Fourier Transform. A nonlinear observation model is defined and a special particle filtering algorithm is developed.
引用
收藏
页码：9 / 12
页数：4
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