Publication - Decimative Spectral Estimation with Unconstrained Model Order

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Decimative Spectral Estimation with Unconstrained Model Order

Research Area:  
    
Type:  
Journal article

 

Year: 2012
Authors: Stavroula-Evita Fotinea; Ioannis Dologlou; Stylianos Bakamidis; Theologos Athanaselis
Journal: Computational and Mathematical Methods in Medicine
Volume: 2012
DOI: 10.1155/2012/917695
Abstract:
This paper presents a new state-space method for spectral estimation that performs decimation by any factor, itmakes 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.
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