Comput Math Methods Med - Decimative spectral estimation with unconstrained model order.

Tópicos

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Resumo

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.

Resumo Limpo

paper present new statespac method spectral estim perform decim factor make use full set data bring apart pole consider impos almost constraint size hankel matrix model order decim increas compar two previous propos techniqu spectral estim along deriv decim version lie among promis method field spectroscopi accuraci paramet estim utmost import moreov compar stateoftheart pure decim method propos literatur experi perform simul nmr signal prove new method robust especi low signaltonois ratio

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