Title :
The composite regressor algorithm
Author :
Kenney, John B. ; Rohrs, Charles E.
Author_Institution :
Tellabs Res. Center, Mishawaka, IN, USA
Abstract :
A relation between equation error and output-error adaptive algorithms is presented. It leads to a clarified view of output-error bias and stability. It is shown that a tradeoff between desirable stability and bias characteristics can be achieved in output error by manipulation of the adaptive gain. The composite regressor algorithm (CRA) is introduced as a means of affecting this tradeoff, independent of the gain. Output error is shown to a special case of CRA. A stability constraint for CRA is developed in a theorem, and the bias properties of this algorithm are discussed
Keywords :
errors; filtering and prediction theory; stability; adaptive algorithms; adaptive filtering; adaptive gain; composite regressor algorithm; equation error; output-error bias; stability; Adaptive algorithm; Adaptive filters; Constraint theory; Delay; Difference equations; Error correction; Filtering algorithms; IIR filters; Stability; Steady-state;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196906
