Technical Program

Paper Detail

Paper:SPTM-P6.5
Session:Non-Stationary Signal Analysis and Modeling
Time:Thursday, May 20, 09:30 - 11:30
Presentation: Poster
Topic: Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis
Title: INSTANTANEOUS FREQUENCY ESTIMATION USING DOUBLE-SIDED EXPONENTIALLY FORGETTING TRANSFORM
Authors: Li Tao; Xidian University 
 Shao-Quan Yang; Xidian University 
 Jian-long Tang; Xidian University 
Abstract: AbstractIn this paper, we propose a new type of time-frequency distribution named double-sided exponentially forgetting transform (DSEFT). And the algorithm of instantaneous frequency estimation using DSEFT is presented. It is shown that the DSEFT offers good time-frequency resolution and that stable reconstruction of signal from samples of the DSEFT is possible. Compared with other forms of time-frequency representation, DSEFT is highly computational efficient, since iterative computation can be used. Analysis shows that DSEFT is superior to exponential forgetting transform as an instantaneous frequency estimator. The bias and the mean square deviation of the estimator are discussed and its validness is verified by the simulations.
 
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