A matlab code to fit periodic data
This paper presents a computer method to find the best sine-based function, in the sense of least squares, to fit periodic data. Even though the least squares method is not a novelty, there is a void in the literature about its use to find trigonometric functions, particularly when it gives rise to...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | Brasil |
| Institución: | Universidade Federal do Rio Grande (FURG) |
| Repositorio: | Repositório Institucional da FURG (RI FURG) |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.furg.br:1/4981 |
| Acceso en línea: | http://repositorio.furg.br/handle/1/4981 |
| Access Level: | acceso abierto |
| Palabra clave: | Earth air heat exchanger Least squares Trigonometric curve fitting Ajuste de funções trigonométricas Mínimos quadrados Trocadores de calor solo-ar |
| Sumario: | This paper presents a computer method to find the best sine-based function, in the sense of least squares, to fit periodic data. Even though the least squares method is not a novelty, there is a void in the literature about its use to find trigonometric functions, particularly when it gives rise to nonlinear systems, as it is done in this article. The respective code, implemented in the Matlab programming language, is detailed and analyzed exploring experimental data from the air and soil temperatures measured along the year in earth air heat exchangers (EAHE) built in the facilities of a case study house in the Brazilian state of Rio Grande do Sul. The fitting curves have been employed by the authors in different works to define boundary conditions to study new computer models of EAHE. |
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