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Signal parameter estimation of complex exponentials using fourth order statistics: additive Gaussian noise environment

A novel approach based on fourth order statistics is presented for estimating the parameters of the complex exponential signal model in additive colored Gaussian noise whose autocorrelation function is not known. Monte Carlo simulations demonstrate that the proposed method performs better than an ex...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:Springerplus
Hauptverfasser: Sircar, Pradip, Dutta, Mukesh K, Mukhopadhyay, Sudipta
Format: Artigo
Sprache:Inglês
Veröffentlicht: Springer International Publishing 2015
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4504875/
https://ncbi.nlm.nih.gov/pubmed/26203406
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-015-1131-3
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