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Estimation of parameters of two-dimensional sinusoidal signal in heavy-tailed errors
| Content Provider | Semantic Scholar |
|---|---|
| Author | Nandi, Swagata |
| Copyright Year | 2012 |
| Abstract | In this paper, we consider a two-dimensional sinusoidal model observed in a additive random field. The proposed model has wide applications in statistical signal processing. The additive noise has mean zero but the variance may not be finite. We propose the least squares estimators to estimate the unknown parameters. It is observed that the least squares estimators are strongly consistent. We obtain the asymptotic distribution of the least squares estimators under the assumption that the additive errors are from a symmetric stable distribution. Some numerical experiments are performed to see how the results work for finite samples. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.isid.ac.in/~statmath/2012/isid201205.pdf |
| Alternate Webpage(s) | http://www.isid.ac.in/~statmath/2012/isid201205.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Additive white Gaussian noise Arabic numeral 0 Experiment Least squares Numerical analysis Sample Variance Sinusoidal model Statistical signal processing Tail Utility functions on indivisible goods |
| Content Type | Text |
| Resource Type | Article |
