Access the full text.
Sign up today, get DeepDyve free for 14 days.
I.A. Ibragimov, R.Z. Khas’minskii (1980)
On the Estimation of a Signal, Its Derivatives and the Maximum Point for Gaussian ObservationsTeor. Veroyatnost. i Primenen., 25
I. Ibragimov, R. Khas'minskii (1981)
Estimates of the Signal, Its Derivatives and Point of Maximum for Gaussian DistributionsTheory of Probability and Its Applications, 25
I.A. Ibragimov, R.Z. Khas’minskii (1979)
Asimptoticheskaya teoriya otsenivaniya
We assume that a transmitted signal is of the form S(t)f(t), where f(t) is a known function vanishing at some points of the observation interval and S(t) is a function of a known smoothness class. The signal is transmitted over a communication channel with additive white Gaussian noise of small intensity ɛ. For this model, we construct an estimator for S(t) which is optimal with respect to the rate of convergence of the risk to zero as ɛ → 0.
Problems of Information Transmission – Springer Journals
Published: Jan 24, 2009
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.