Title :
Adaptive systems as optimal processors
Author_Institution :
Arizona State University, Tempe, Arizona
Abstract :
This paper suggests that adaptive filters can be the direct results of optimization problems, if a suitable optimization criterion is used, together with a practical set of constraints. That idea is different from traditional concepts, where adaptive algorithms are used as "real-time" approximations to an "optimal" processor. By allowing the optimal processor to be a stochastic operator, adaptive systems are introduced into the optimization process.
Keywords :
Adaptive algorithm; Adaptive filters; Adaptive systems; Constraint optimization; Finite impulse response filter; Lattices; Reflection; Signal processing algorithms; Stochastic processes; Stochastic systems;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.
DOI :
10.1109/ICASSP.1985.1168123