Title :
Hyperstable adaptive IIR algorithms with polyphase structures: analysis and design
Author :
López-Valcarce, Roberto ; Mosquera, Carlos ; Pérez-González, Fernando
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
fDate :
7/1/1999 12:00:00 AM
Abstract :
We consider adaptive identification algorithms based on hyperstability concepts with polyphase structures. The SPR condition required for convergence of these schemes can be always met by using a sufficiently high polyphase expansion factor M. The degree of persistent excitation required for parameter convergence is obtained. If some a priori knowledge about the system to identify is available, a compensating filter can be designed to avoid the need for a high M
Keywords :
IIR filters; adaptive filters; adaptive signal processing; filtering theory; identification; numerical stability; adaptive IIR filtering; adaptive identification algorithms; compensating filter; convergence; high polyphase expansion factor; hyperstable adaptive IIR algorithms; parameter convergence; polyphase structures; Adaptive filters; Algorithm design and analysis; Circuits; Convergence; IIR filters; Polynomials; Random variables; Signal processing; Signal processing algorithms; Stochastic processes;
Journal_Title :
Signal Processing, IEEE Transactions on