CUED Publications database

Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference

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 1520-6149

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: amplitude estimation amplitude modulation frequency estimation frequency modulation machine learning
Subjects: UNSPECIFIED
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
DOI: 10.1109/ICASSP.2012.6288343