Title
New adaptive IIR filtering algorithms based on the Steiglitz-McBride method
Abstract
This correspondence introduces a family of algorithms based on the Steiglitz-McBride (SM) method for adaptive IIR filtering. The main feature of the proposed algorithms is to remove the parameter bias induced by colored measurement noise. The conceptual similarities between the SM method and the equation error method are explored in order to analyze some properties of the new algorithms. The main ...
Year
DOI
Venue
1997
10.1109/78.575712
IEEE Transactions on Signal Processing
Keywords
Field
DocType
Filtering algorithms,Samarium,Adaptive filters,IIR filters,Noise measurement,Colored noise,Equations,Algorithm design and analysis,Parameter estimation,Convergence
Signal processing,Colored,Iir filtering,Mathematical optimization,Control theory,Infinite impulse response,Algorithm,Local convergence,Adaptive filter,Estimation theory,System identification,Mathematics
Journal
Volume
Issue
ISSN
45
5
1053-587X
Citations 
PageRank 
References 
1
0.48
1
Authors
2
Name
Order
Citations
PageRank
J.E. Cousseau1385.45
P. S. R. Diniz215314.40