On the least squares estimator asymptotic normality of the multivariate symmetric textured surface parameters
2021 ◽
Vol 105
(0)
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pp. 151-169
Keyword(s):
A multivariate trigonometric regression model is considered. Various discrete modifications of the similar bivariate model received serious attention in the literature on signal and image processing due to multiple applications in the analysis of symmetric textured surfaces. In the paper asymptotic normality of the least squares estimator for amplitudes and angular frequencies is obtained in multivariate trigonometric model assuming that the random noise is a homogeneous or homogeneous and isotropic Gaussian, in particular, strongly dependent random field on R M , M > 2. \mathbb {R}^M,\,\, M>2.
2021 ◽
Vol ahead-of-print
(ahead-of-print)
◽
Keyword(s):
2017 ◽
Vol 69
(4)
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pp. 516-526
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2014 ◽
Vol 88
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pp. 175-190
2016 ◽
Vol 3
(1)
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pp. 47-57
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Keyword(s):
1999 ◽
Vol 44
(4)
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pp. 409-416
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Keyword(s):
2020 ◽
Vol 100
◽
pp. 107-131
Keyword(s):
2018 ◽
Vol 70
(2)
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pp. 371-384
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