Title :
A new parameterization for designing stable adaptive IIR filters
Author :
Li, Gang ; Qiu, Lunji
Author_Institution :
School of EEE, Nanyang Technological University, Singapore 639798
Abstract :
Stability is one of the most important issues in designing recursive digital adaptive filters. It is well known that the conventional transfer coefficient (or direct-form) Parameterization yields a simple implementation but suffers from potential instability problems. In this paper, based on an input-balanced realization a new adaptive filter structure is developed. It is shown that this new Parameterization has some nice numerical properties and possesses very good convergence behavior. More importantly, with this Parameterization the stability can be ensured easily and no stability monitoring is needed.
Keywords :
Adaptive filters; Boolean functions; Data structures; Equations; Mathematical model; Noise; Performance analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5744049