Adaptive IIR filtering: Current results and open issues
C Johnson - IEEE Transactions on Information Theory, 1984 - ieeexplore.ieee.org
A tutorial-style framework is presented for understanding the current status of adaptive
infinite-impulse-response (IIR) filters. The paper begins with a detailed discussion of the …
infinite-impulse-response (IIR) filters. The paper begins with a detailed discussion of the …
[图书][B] Learning algorithms: theory and applications in signal processing, control and communications
P Mars - 2018 - taylorfrancis.com
Over the past decade, interest in computational or non-symbolic artificial intelligence has
grown. The algorithms involved have the ability to learn from past experience, and therefore …
grown. The algorithms involved have the ability to learn from past experience, and therefore …
SHARF: An algorithm for adapting IIR digital filters
M Larimore, J Treichler… - IEEE Transactions on …, 1980 - ieeexplore.ieee.org
The concept of adaptation in digital filtering has proven to be a powerful and versatile means
of signal processing in applications where precise a priori filter design is impractical …
of signal processing in applications where precise a priori filter design is impractical …
A new adaptive IIR filter
H Fan, W Jenkins - IEEE Transactions on Circuits and Systems, 1986 - ieeexplore.ieee.org
A family of stochastic approximation variants of the Steiglitz-McBride identification scheme
[1]-[3] is developed for adaptive IIR filtering. Parameter convergence is shown by computer …
[1]-[3] is developed for adaptive IIR filtering. Parameter convergence is shown by computer …
Adaptive IIR filtering using parallel-form realizations
JJ Shynk - IEEE transactions on acoustics, speech, and signal …, 1989 - ieeexplore.ieee.org
Several parallel-form adaptive IIR (infinite impulse response) filters are presented, including
a frequency-domain implementation based on the discrete Fourier transform and a recursive …
a frequency-domain implementation based on the discrete Fourier transform and a recursive …
Adaptive IIR filtering algorithms for system identification: a general framework
Adaptive IIR (infinite impulse response) filters are particularly beneficial in modeling real
systems because they require lower computational complexity and can model sharp …
systems because they require lower computational complexity and can model sharp …
Adaptive recursive state-space filters using a gradient-based algorithm
DA Johns, WM Snelgrove… - IEEE Transactions on …, 1990 - ieeexplore.ieee.org
To aid in the search for better adaptive filter structures, a method is presented to obtain the
gradients required to adapt general state-space filters. Unfortunately, the number of …
gradients required to adapt general state-space filters. Unfortunately, the number of …
Application of Benveniste's convergence results in the study of adaptive IIR filtering algorithms
H Fan - IEEE transactions on information theory, 1988 - ieeexplore.ieee.org
It is shown that the weak convergence results of A. Benveniste et al.(IEEE Trans. Automat.
Contr., vol. AC-25, p. 1042-58, Dec. 1980) can be used to prove convergence of some …
Contr., vol. AC-25, p. 1042-58, Dec. 1980) can be used to prove convergence of some …
On 2-D recursive LMS algorithms using ARMA prediction for ADPCM encoding of images
YS Chung, M Kanefsky - IEEE Transactions on Image …, 1992 - ieeexplore.ieee.org
A two-dimensional (2D) linear predictor which has an autoregressive moving average
(ARMA) representation well as a bias term is adapted for adaptive differential pulse code …
(ARMA) representation well as a bias term is adapted for adaptive differential pulse code …
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 …
McBride method (SMM), the recursive gradient method (RGM), and the instrumental variable …