A method that fits a least squares sine curve to both point and averaged time series data is described. The method includes a full regression analysis and extends the current "cosinor" approach. Developments include estimation of the linear trend and fitting secondary wave forms.
β¦ LIBER β¦
Estimating Parameters of a Sine Wave by Separable Nonlinear Least Squares Fitting
β Scribed by Kui Fu Chen
- Book ID
- 114631832
- Publisher
- IEEE
- Year
- 2010
- Tongue
- English
- Weight
- 127 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0018-9456
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