Title :
The adaptive Bayesian approach to the synthesis of algorithms for joint detection — Estimation
Author_Institution :
Dept. of Syst. Anal. & Modeling of Econ. Processes, Financial Univ. under the Gov. of the Russian Federation, Moscow, Russia
Abstract :
The article contains practical algorithm for the adaptive Bayesian approach to the synthesis of algorithms for joint detection-estimation using multi-channel and adaptive schemes for joint detection-estimation.
Keywords :
Bayes methods; adaptive signal processing; signal synthesis; adaptive Bayesian approach; algorithm synthesis; joint detection-estimation; multichannel scheme; Adaptive systems; Algorithm design and analysis; Bayes methods; Economics; Estimation; Joints; Bayes formula; Bayesian belief networks; joint detection-estimation; parameter; the apriori distribution;
Conference_Titel :
Soft Computing and Measurements (SCM), 2015 XVIII International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4673-6960-2
DOI :
10.1109/SCM.2015.7190398
