Turner, RE and Sahani, M (2012) Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. pp. 2173-2176. ISSN 1520-6149Full text not available from this repository.
There are many methods for decomposing signals into a sum of amplitude and frequency modulated sinusoids. In this paper we take a new estimation based approach. Identifying the problem as ill-posed, we show how to regularize the solution by imposing soft constraints on the amplitude and phase variables of the sinusoids. Estimation proceeds using a version of Kalman smoothing. We evaluate the method on synthetic and natural, clean and noisy signals, showing that it outperforms previous decompositions, but at a higher computational cost. © 2012 IEEE.
|Uncontrolled Keywords:||amplitude estimation amplitude modulation frequency estimation frequency modulation machine learning|
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Cron Job|
|Date Deposited:||07 Mar 2014 11:49|
|Last Modified:||08 Dec 2014 02:35|