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Fast and Accurate Fitting and Filtering of Noisy Exponentials in Legendre Space
The parameters of experimentally obtained exponentials are usually found by least-squares fitting methods. Essentially, this is done by minimizing the mean squares sum of the differences between the data, most often a function of time, and a parameter-defined model function. Here we delineate a nove...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3948392/ https://ncbi.nlm.nih.gov/pubmed/24603904 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0090500 |
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