Proceedings ArticleDOI
Application of modified least-squares algorithms to adaptive echo cancellation
V.U. Reddy,T. Shan,Thomas Kailath +2 more
- Vol. 8, pp 53-56
TLDR
Simulations are used to verify the performance of the proposed algorithms and the results confirm the theoretical predictions, and a comparison of performances of different algorithms applied to real speech signals is given.Abstract:
We propose the application of modified recursive least-squares algorithms and least-squares lattice algorithms to echo cancellation problems to provide fast convergence and overcome the effects of the double-talking. The modified algorithms run continuously, but the gain updates become negligibly small during the double-talking intervals. Thus, detection of the double-talking and virtual freezing of the adaptive filter weights are both built into the algorithm. Simulations are used to verify the performance of the proposed algorithms, And the results confirm the theoretical predictions. A comparison of performances of different algorithms applied to real speech signals is also given in the paper.read more
Citations
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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.
Book
Lectures on Wiener and Kalman Filtering
TL;DR: In this paper, the authors consider two random variables X, Y with a known joint density function fx,y(.,.). Assume that in a particular experiment, the random variable Y can be measured and takes the value y. What can be said about the corresponding value of the unobservable variable X?
Journal ArticleDOI
Windowed fast transversal filters adaptive algorithms with normalization
John M. Cioffi,Thomas Kailath +1 more
TL;DR: The normalized FTF algorithms are introduced, at a modest increase in computational requirements, to significantly mitigate the numerical deficiencies inherent in all most-efficient RLS solutions, thus illustrating an interesting and important tradeoff between the growth rate of numerical errors and computational requirements for all fixed-order algorithms.
Journal ArticleDOI
Adaptive algorithms with an automatic gain control feature
T.J. Shan,Thomas Kailath +1 more
TL;DR: 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.
Journal ArticleDOI
Tracking improvements in fast RLS algorithms using a variable forgetting factor
B. Toplis,Subbarayan Pasupathy +1 more
TL;DR: The concept of a variable forgetting factor (VFF) is incorporated into fast recursive least-squares (FRLS) algorithms and the bias introduced by the use of the VFF is analyzed.
References
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TL;DR: In this article, five different recursive identification methods are compared, namely recursive versions of the least square method, the instrumental variable method, generalized least squares method, extended least squares, and the maximum likelihood method.
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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.
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Communications: Bell's echo-killer chip: Annoying echoes in two-way conversations via satellite are eliminated by using an inexpensive silicon circuit
TL;DR: In this article, the authors describe how annoying echoes in two-way conversations via satellite are eliminated by using an inexpensive silicon circuit which is an IC containing more than 30000 transistors.