Fast recursive basis functions estimators for identification of time-varying processes

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 1, Issue , 2000, Pages 1-4

  Niedźwiecki, Maciej ^a   Klaput, Tomasz ^a  

^a GDANSK UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERS; COMPUTATION THEORY; FUNCTIONS; LEAST SQUARES APPROXIMATIONS; SIGNAL PROCESSING; ALGORITHMS; APPROXIMATION THEORY; ESTIMATION; FIR FILTERS; PARAMETER ESTIMATION; RANDOM PROCESSES; RECURSIVE FUNCTIONS; TIME VARYING SYSTEMS;

BASIS FUNCTIONS; COMPUTATIONAL REQUIREMENTS; ESTIMATION SCHEMES; POST-FILTERING; TIME-VARYING PROCESS; TRACKING CAPABILITY; WEIGHTED LEAST SQUARES; WEIGHTED-LEAST-SQUARES ALGORITHM;

PARAMETER ESTIMATION; ADAPTIVE FILTERING;

BASIS FUNCTIONS ESTIMATORS; TIME VARYING PROCESSES; WEIGHTED LEAST SQUARES METHOD;

EID: 0033677124     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2000.861841     Document Type: Conference Paper

References (4)

1. Niediwiecki M. (1988). "On tracking characteristics of weighted least squares estimators applied to nonstationary system identification", IEEE Trans. Automat. Control, vol. AC-33, pp. 96-98.
2. Niediwiecki M. (1990). "Recursive functional series modeling approach to identification of time-varying plants - more bad news than good ?", IEEE Trans. Automat. Contr., vol. AC-35, pp. 610-616.
3. Niediwiecki M. (1990). "Identification of time-varying systems using combined parameter estimation and filtering", IEEE Trans. Automat. Contr., vol. AC-35, pp. 679-686.
4. Tsatsanis M.K. and Giannakis G.B. (1996). "Modeling and equalization of rapidly fading channels", Int. J. Adaptive Contr. Signal Process., vol. 10, pp. 159-176.