Citation link:
Authors:
Шишков, Благовест Борисов; Shishkov, Blagovest Borisov
Title:
Asymptotic optimal algorithms for detecting signals in m-dependent markov noise
Other Titles:
Асимптотично оптимални алгоритми за откриване на сигнали в м-зависим марковски шум
Date of Issue:
1995
Is Part of:
Proceedings of the Technical University – Sofia, 48(5), 1995, pp. 3-8
Publisher:
Технически университет - София
Identifiers:
0374-342X [issn]
Type:
Article
Language:
eng
Subject:
Марковски шум; детерминирани сигнали; асимптотично оптимални (AO) алгоритми; квази детерминирани сигнали
Abstract:
Asymptotic optima! (AO) algorithms for detection of signals in additive in¬dependent Markov noise are synthesized. The algorithms require the storage of m past dam samples to achieve optimum performance. Il is A 0 memory discrete-time detector of a deterministic or qiiasideterministic signal in m-dependent Markov noise, As a measure of stability of algorithms in changing noisy situation asymptotic relative efficiency (ARE) was determined. To assure the estimation of the detector's parameters as a result of learning the AO algorithm was modified to adaptive one. The investigations are carried out by common approach.
Description:
Съдържа формули. – Библиогр., с. 8.
