On reduced order identification; revisiting'On some system identification techniques for adaptive filtering'

H Fan, M Nayeri - IEEE transactions on circuits and systems, 1990 - ieeexplore.ieee.org
T. Soderstrom and P. Stoica (1988) have previously discussed three algorithms: the Steiglitz-
McBride method (SMM), the recursive gradient method (RGM), and the instrumental variable …

On some system identification techniques for adaptive filtering

T Soderstrom, P Stoica - IEEE transactions on circuits and …, 1988 - ieeexplore.ieee.org
Three different identification methods (the Steiglitz-McBride method, the output error method,
and the instrumental variable method) are discussed in the context of adaptive filtering. They …

On'global convergence'of Steiglitz-McBride adaptive algorithm

H Fan, M Doroslovacki - … on Circuits and Systems II: Analog …, 1993 - ieeexplore.ieee.org
The authors investigate the global convergence phenomenon of the Steiglitz-McBride
adaptive identification/filtering method (SMM) observed previously under reduced order …

Comments on" A weighted least-squares method for the design of stable 1-D and 2-D IIR digital filters"[with reply]

PA Regalia, WS Lu, SC Pei… - IEEE transactions on …, 1999 - ieeexplore.ieee.org
For original paper by Lu et al. see IEEE Trans. Signal Processing, vol. 46, p. 1-10 (1998
January). The iterative procedure by Lu et al. for designing IIR filters is recognized as the …

A structural view of asymptotic convergence speed of adaptive IIR filtering algorithms. I. Infinite precision implementation

H Fan - IEEE transactions on signal processing, 1993 - ieeexplore.ieee.org
An ordinary differential equation (ODE) approach is used to study the focal convergence
speed of adaptive IIR filtering and system identification algorithms of various structures: the …

Stochastic gradient algorithm for system identification using adaptive FIR-filters with too low number of coefficients

RD Poltmann - IEEE transactions on circuits and systems, 1988 - ieeexplore.ieee.org
The stochastic gradient algorithm for the adaptive finite-impulse response (FIR)-identification
of a linear quasi-time-invariant system is impaired if the number of impulse response …

Contraction mapping: An important property in adaptive filters

M Rupp - Proceedings of IEEE 6th Digital Signal Processing …, 1994 - ieeexplore.ieee.org
Shows that many adaptive filters used for system identification are contraction mappings.
Applying deterministic methods the authors give conditions under which algorithms, like …

Stable and efficient lattice algorithms for adaptive IIR filtering

PA Regalia - IEEE Transactions on Signal Processing, 1992 - ieeexplore.ieee.org
Previous attempts at applying lattice structures to adaptive infinite-impulse-response (IIR)
filtering have met with gradient computations of O (N/sup 2/) complexity. To overcome this …

Adaptive IIR filtering algorithms for system identification: a general framework

SL Netto, PSR Diniz… - IEEE Transactions on …, 1995 - ieeexplore.ieee.org
Adaptive IIR (infinite impulse response) filters are particularly beneficial in modeling real
systems because they require lower computational complexity and can model sharp …

Multiplication-free adaptive digital filters

TH Park, DH Youn, IW Cha - Proceedings of the IEEE, 1988 - ieeexplore.ieee.org
The authors update delta modulation digital filter weights using the LMS (least-mean-
squares) and the SIGN algorithms to realize an adaptive digital filter without multiplication …