Details

Title

Stability Conditions for the Leaky LMS Algorithm Based on Control Theory Analysis

Journal title

Archives of Acoustics

Yearbook

2016

Numer

No 4

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Committee on Acoustics PAS, PAS Institute of Fundamental Technological Research, Polish Acoustical Society

Date

2016

Identifier

ISSN 0137-5075 ; eISSN 2300-262X

References

MayyasK (1997), Leaky LMS algorithm : MSE analysis for Gaussian data on, IEEE Transactions Signal Processing, 45, 927, doi.org/10.1109/78.564181 ; WronaS (2013), Controllability - oriented placement of actuators for active noise - vibration control of flexible structures using memetic algorithms of, Archives Acoustics, 38, 529. ; KuoS (1999), Active noise control : a tutorial review the, Proceedings of IEEE, 87, 943, doi.org/10.1109/5.763310 ; GardnerW (1984), Learning characteristics of stochastic - gradient - descent algorithms : A general study analysis and critique, Signal Processing, 6, 113, doi.org/10.1016/0165-1684(84)90013-6 ; LinJ (1967), Bounded - input bounded - output stability of nonlinear time - varying discrete control systems on, IEEE Transactions Automatic Control, 12, 423, doi.org/10.1109/TAC.1967.1098631 ; BismorD (2016), Review and comparison of variable step - size LMS algorithms of Acoustics and Vibration, International Journal, 21, 24. ; SetharesW (1986), Parameter drift in LMS adaptive filters on Acoustics and, IEEE Transactions Speech Signal Processing, 34, 868, doi.org/10.1109/TASSP.1986.1164874 ; LatosM (2010), Adaptive algorithms for enhancement of speech subject to a high - level noise of, Archives Acoustics, 35, 203. ; ZamesG (1966), On the input - output stability of time - varying nonlinear feedback systems Part one : Conditions derived using concepts of loop gain conicity and positivity on, IEEE Transactions Automatic Control, 11, 228, doi.org/10.1109/TAC.1966.1098316 ; BismorD (2015), Extension of LMS stability condition over a wide set of signals of Adaptive Control and Signal Processing, International Journal, 29, 653. ; KurczykS (2014), Active noise control using a fuzzy inference system without secondary path modeling of, Archives Acoustics, 39, 243. ; ŁawryńczukM (2009), Efficient nonlinear predictive control based on structured neural models of and, International Journal Applied Mathematics Computer Science, 19, 233. ; NascimentoV (1999), Unbiased and stable leakage - based adaptive filters on, IEEE Transactions Signal Processing, 47, 3261, doi.org/10.1109/78.806071

DOI

10.1515/aoa-2016-0070

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