On sequential estimation of a periodic signal on the background of an autoregressive noise
We consider the problem of estimating coefficients of a trigonometric signal in a discrete time from observations with an additive noise described by a stationary autoregressive process with unknown parameters and unknown distribution. A one-step sequential procedure to estimate signal coefficients is proposed, which provides a given root-mean-square accuracy of estimates for any values of the nuisance parameters. An asymptotic formula for the mean duration of the procedure is constructed.
Keywords
последовательное оценивание, заданная среднеквадрати-ческая точность, тригонометрическая регрессия, момент остановки, авторегрессионный шум, sequential estimation, given root-mean-square accuracy, trigonometric regression, stopping time, autoregressive noiseAuthors
Name | Organization | |
Emelyanova Tatiana Veniaminovna | Tomsk State University | tv_em@mail.ru |
Konev Viktor Vasil'evich | Tomsk State University | vvkonev@mail.tsu.ru |
References

On sequential estimation of a periodic signal on the background of an autoregressive noise | Vestnik Tomskogo gosudarstvennogo universiteta. Matematika i mekhanika – Tomsk State University Journal of Mathematics and Mechanics. 2015. № 2(34).