Details Details PDF BIBTEX RIS Title LMS Algorithm Step Size Adjustment for Fast Convergence Journal title Archives of Acoustics Yearbook 2012 Volume vol. 37 Issue No 1 Authors Bismor, Dariusz Keywords signal processing ; adaptive algorithms ; least mean squares ; active noise control ; system identification Divisions of PAS Nauki Techniczne Coverage 31-40 Publisher Polish Academy of Sciences, Institute of Fundamental Technological Research, Committee on Acoustics Date 2012 Type Artykuły / Articles Identifier DOI: 10.2478/v10168-012-0005-8 Source Archives of Acoustics; 2012; vol. 37; No 1; 31-40 References Aboulnasr T. (1997), A robust variable step-size LMS-type algorithm: Analysis and simulations, IEEE Transactions on Signal Processing, 45, 3, 631, doi.org/10.1109/78.558478 ; Ang W. (2001), A new class of gradient adaptive step-size LMS algorithms, IEEE Transactions on Signal Processing, 49, 4, 805, doi.org/10.1109/78.912925 ; Bi Y. (2010), Gradient vector driven variable step size least mean square algorithm, null, 41. ; Bismor D. (2008), Stability-based algorithm for LMS step size adjustment, null. ; Bismor D. (2009), Active noise control using stability-based LMS step size adjustment, null. ; Butterweck H. (1995), A steady-state analysis of the LMS adaptive algorithm without use of the independence assumption, null, 1404. ; Elliott S. (2001), Signal Processing for Active Noise Control. ; Evans J. (1993), Analysis and implementation of variable step size adaptive algorithms, IEEE Transactions on Signal Processing, 41, 8, 2517, doi.org/10.1109/78.229885 ; Harris R. (1986), A variable step (vs) adaptive filter algorithm, IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP, 34, 2, 309, doi.org/10.1109/TASSP.1986.1164814 ; Hassibi B. (1993), LMS is H∞ optimal, null, 1, 74. ; Hassibi B. (1996), H∞ optimality of the LMS algorithm, IEEE Transactions on Signal Processing, 44, 2, 267, doi.org/10.1109/78.485923 ; Haykin S. (2002), Adaptive Filter Theory. ; Hwang J. (2009), Variable step-size LMS algorithm with a gradient-based weighted average, IEEE Signal Processing Letters, 16, 12, 1043, doi.org/10.1109/LSP.2009.2027653 ; Kaczorek T. (1993), <i>Control and system theory</i> [in Polish: <i>Teoria sterowania i systemów</i>]. ; Kuo S. (1996), Active Noise Control Systems. ; Kwong R. (1992), Variable step size LMS algorithm, IEEE Transactions on Signal Processing, 40, 7, 1633, doi.org/10.1109/78.143435 ; Latos M. (2010), Adaptive algorithms for enhancement of speech subject to a high-level noise, Archives of Acoustics, 35, 2, 203, doi.org/10.2478/v10168-010-0019-z ; Liu F. (2009), A variable step size LMS adaptive filtering algorithm based on the number of computing mechanisms, null, 1904. ; Mathews V. (1993), A stochastic gradient adaptive filter with gradient adaptive step size, IEEE Transactions on Signal Processing, 41, 6, 2075, doi.org/10.1109/78.218137 ; Sayed A. (2003), Fundamentals of Adaptive Filtering. ; Sun J. (2009), Improved variable step size (IVSS) LMS for active noise control system, null, 2054. ; Wang P. (2009), A novel automatic step-size adjustment approach in the LMS algorithm, null, 867. ; Zou K. (2009), A new modified robust variable step size LMS algorithm, null, 2699.