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Comput Math Methods Med. 2012;2012:917695. doi: 10.1155/2012/917695. Epub 2012 Feb 22.

Decimative spectral estimation with unconstrained model order.

Author information

1
Department of Voice and Sound Technology, Institute for Language and Speech Processing / "Athena" R.C., Maroussi, Paradissos Amaroussiou, Greece.

Abstract

This paper presents a new state-space method for spectral estimation that performs decimation by any factor, it makes use of the full set of data and brings further apart the poles under consideration, while imposing almost no constraints to the size of the Hankel matrix (model order), as decimation increases. It is compared against two previously proposed techniques for spectral estimation (along with derived decimative versions), that lie among the most promising methods in the field of spectroscopy, where accuracy of parameter estimation is of utmost importance. Moreover, it is compared against a state-of-the-art purely decimative method proposed in literature. Experiments performed on simulated NMR signals prove the new method to be more robust, especially for low signal-to-noise ratio.

PMID:
22461845
PMCID:
PMC3296265
DOI:
10.1155/2012/917695
[Indexed for MEDLINE]
Free PMC Article

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