Journal ArticleDOI
Adaptive algorithms with an automatic gain control feature
T.J. Shan,Thomas Kailath +1 more
TLDR
In this paper, an automatic gain control (AGC) scheme is introduced for adaptive algorithms that are used extensively in many applications, which is realized by using an estimate of the cross correlation between the adaptation error and the input signal to control the gain of the adaptive algorithm.Abstract:
An automatic gain control (AGC) scheme is introduced for adaptive algorithms that are used extensively in many applications. The scheme is realized by using an estimate of the cross correlation between the adaptation error and the input signal to control the gain of the adaptive algorithm. When the cross correlation is high, the gain is also high, and the adaptive algorithm is in an 'active' state. When the error and the input signals are uncorrelated, the gain is closed to zero, and the adaptive algorithm is put in an 'asleep' state. Thus, adaptive algorithms with such AGC are comparatively insensitive to disturbances appearing on the system output measurement, which can drive conventional adaptive algorithms away from the achieved adaptation. A fast, efficient algorithm for estimation of the cross-correlation coefficient of adaptive error and input is proposed. >read more
Citations
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Journal ArticleDOI
Active noise control: a tutorial review
Sen M. Kuo,Dennis R. Morgan +1 more
TL;DR: The basic adaptive algorithm for ANC is developed and analyzed based on single-channel broad-band feedforward control, then modified for narrow-bandFeedforward and adaptive feedback control, which are expanded to multiple-channel cases.
Journal ArticleDOI
A robust variable step-size LMS-type algorithm: analysis and simulations
Tyseer Aboulnasr,K. Mayyas +1 more
TL;DR: A robust variable step-size LMS-type algorithm providing fast convergence at early stages of adaptation while ensuring small final misadjustment is presented, providing performance equivalent to that of the regular LMS algorithm.
Journal ArticleDOI
A stochastic gradient adaptive filter with gradient adaptive step size
V.J. Mathews,Z. Xie +1 more
TL;DR: The tracking performance of these algorithms in nonstationary environments is relatively insensitive to the choice of the parameters of the adaptive filter and is very close to the best possible performance of the least mean square (LMS) algorithm for a large range of values of the step size of the adaptation algorithm.
Proceedings ArticleDOI
A robust variable step size LMS-type algorithm: analysis and simulations
K. Mayyas,Tyseer Aboulnasr +1 more
TL;DR: In this paper, a robust variable step size LMS-type algorithm with the attractive property of achieving a small final misadjustment while providing fast convergence at early stages of adaptation is presented.
Journal ArticleDOI
Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming
TL;DR: This paper reviews the literature on deterministic and stochastic stepsize rules, and derives formulas for optimal stepsizes for minimizing estimation error, and an approximation is proposed for the case where the parameters are unknown.
References
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Journal ArticleDOI
Fast, recursive-least-squares transversal filters for adaptive filtering
John M. Cioffi,Thomas Kailath +1 more
TL;DR: Fast transversal filter (FTF) implementations of recursive-least-squares (RLS) adaptive-filtering algorithms are presented in this paper and substantial improvements in transient behavior in comparison to stochastic-gradient or LMS adaptive algorithms are efficiently achieved by the presented algorithms.
Journal ArticleDOI
Lattice filters for adaptive processing
TL;DR: This paper presents a tutorial review of lattice structures and their use for adaptive prediction of time series, and it is shown that many of the currently used lattice methods are actually approximations to the stationary least squares solution.
Journal ArticleDOI
Recursive least squares ladder estimation algorithms
TL;DR: A Hilbert space approach to the derivations of magnitude normalized signal and gain recursions is presented and normalized forms are expected to have even better numerical properties than the unnormalized versions.
Journal ArticleDOI
Silencing echoes on the telephone network
M.M. Sondhi,D.A. Berkley +1 more
TL;DR: Echo cancellers may be applied to the network in a number of ways and the development of a VLSI canceller chip promises inexpensive implementation of these applications.
Journal ArticleDOI
A Twelve-Channel Digital Echo Canceler
TL;DR: A recently constructed 12-channel digital echo canceler that interfaces directly with the 8-bit μ255 PCM now standard for digital transmission in the telephone plant is described.