DocumentCode :
1008311
Title :
Games of stochastic learning automata and adaptive signal processing
Author :
Tang, C.K.K. ; Mars, P.
Author_Institution :
Sch. of Eng. & Comput. Sci., Durham Univ., UK
Volume :
23
Issue :
3
fYear :
1993
Firstpage :
851
Lastpage :
856
Abstract :
The use of stochastic learning automata to perform global search of adaptive IIR filter error surfaces has been recently demonstrated by the authors. In this correspondence the concept of automata games and a novel hybrid search strategy are introduced to improve the convergence speed, and as possible solutions to the high dimensionality problem
Keywords :
adaptive filters; convergence of numerical methods; filtering and prediction theory; game theory; search problems; stochastic automata; adaptive IIR filter error; adaptive signal processing; automata games; convergence; hybrid search strategy; infinite impulse response filters; stochastic learning automata; Adaptive filters; Adaptive signal processing; Adaptive systems; Convergence; Filtering; Finite impulse response filter; IIR filters; Learning automata; Mars; Stochastic processes;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.256555
Filename :
256555
Link To Document :
بازگشت