DocumentCode :
2939276
Title :
Tracking of time-frequency components using particle filtering
Author :
Dubois, Corentin ; Davy, Manuel ; Idier, Jérôme
Author_Institution :
IRCCyN UMR 6597, Nantes, France
Volume :
4
fYear :
2005
fDate :
18-23 March 2005
Abstract :
The paper investigates a new method for the extraction of spectral trajectories from nonstationary multicomponent narrowband 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.
Keywords :
Fourier transforms; Monte Carlo methods; filtering theory; parameter estimation; statistical analysis; time-frequency analysis; tracking; frequency trajectory tracking; nonlinear observation model; nonstationary multicomponent narrowband signals; parameter estimation; particle filtering; sequential Monte Carlo methods; short term Fourier transform; spectral trajectories; statistical filtering; time-frequency components tracking; Additive noise; Equations; Filtering; Fourier transforms; Frequency estimation; Hidden Markov models; Particle tracking; Signal processing algorithms; Time frequency analysis; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415932
Filename :
1415932
Link To Document :
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