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Algorithms of signal parameter estimation based on the theory of Compressive Sensing and their computer simulation
The problem of estimating unknown signal parameters in the presence of noise is a classical problem in statistical radio engineering. There are many algorithms for solving this problem. Many of these algorithms are based on the use of well-known statistical optimality criteria in order to improve th...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
2020
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| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/1479/1/012108 http://cds.cern.ch/record/2744920 |