Tracking Analysis of Adaptive Filters with Data Normalization and Error Nonlinearities

[1]  Tareq Y. Al-Naffouri,et al.  Transient analysis of data-normalized adaptive filters , 2003, IEEE Trans. Signal Process..

[2]  James M. Ortega,et al.  Iterative solution of nonlinear equations in several variables , 2014, Computer science and applied mathematics.

[3]  Shirish Nagaraj,et al.  Set-membership filtering and a set-membership normalized LMS algorithm with an adaptive step size , 1998, IEEE Signal Processing Letters.

[4]  Ali H. Sayed,et al.  A unified approach to the steady-state and tracking analyses of adaptive filters , 2001, IEEE Trans. Signal Process..

[5]  Bernard Widrow,et al.  Adaptive switching circuits , 1988 .

[6]  Sergios Theodoridis,et al.  Online Kernel-Based Classification Using Adaptive Projection Algorithms , 2008, IEEE Transactions on Signal Processing.

[7]  Scott C. Douglas,et al.  Adaptive cancellation of geomagnetic background noise using a sign-error normalized LMS algorithm , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[8]  J. Mazo.  On the independence theory of equalizer convergence , 1979, The Bell System Technical Journal.

[9]  Tareq Y. Al-Naffouri,et al.  Transient analysis of adaptive filters with error nonlinearities , 2003, IEEE Trans. Signal Process..

[10]  Sergios Theodoridis,et al.  Adaptive Learning in a World of Projections , 2011, IEEE Signal Processing Magazine.

[11]  Kutluyil Dogançay,et al.  Tracking performance analysis of the set-membership NLMS Adaptive Filtering Algorithm , 2012, Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.

[12]  Neil J. Bershad,et al.  On error-saturation nonlinearities in LMS adaptation , 1988, IEEE Trans. Acoust. Speech Signal Process..

[13]  D. Duttweiler.  Adaptive filter performance with nonlinearities in the correlation multiplier , 1982 .

[14]  Isao Yamada,et al.  Steady-State Mean-Square Performance Analysis of a Relaxed Set-Membership NLMS Algorithm by the Energy Conservation Argument , 2009, IEEE Transactions on Signal Processing.

[15]  I. Yamada,et al.  Adaptive Projected Subgradient Method for Asymptotic Minimization of Sequence of Nonnegative Convex Functions , 2005 .

[16]  Azzedine Zerguine.  Convergence and steady-state analysis of the normalized least mean fourth algorithm , 2007, Digit. Signal Process..

[17]  Bernard Widrow,et al.  The least mean fourth (LMF) adaptive algorithm and its family , 1984, IEEE Trans. Inf. Theory.

[18]  Odile Macchi,et al.  Adaptive Processing: The Least Mean Squares Approach with Applications in Transmission , 1995 .

[19]  Isao Yamada,et al.  An efficient robust adaptive filtering algorithm based on parallel subgradient projection techniques , 2002, IEEE Trans. Signal Process..

[20]  Ali H. Sayed,et al.  Ability of adaptive filters to track carrier offsets and channel nonstationarities , 2002, IEEE Trans. Signal Process..

[21]  J. Nagumo,et al.  A learning method for system identification , 1967, IEEE Transactions on Automatic Control.

[22]  Azzedine Zerguine.  A variable-parameter normalized mixed-norm (VPNMN) adaptive algorithm , 2012, EURASIP J. Adv. Signal Process..

[23]  Ali H. Sayed,et al.  Fundamentals Of Adaptive Filtering , 2003 .