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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504875/ https://www.ncbi.nlm.nih.gov/pubmed/26203406 http://dx.doi.org/10.1186/s40064-015-1131-3 |