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A noise resilient variable step-size LMS algorithm
Signal Processing, 2008This work presents a modified version of the variable step size (VSS) least mean square (LMS) algorithm originally proposed by Kwong and Johnston [IEEE Trans. Signal Process. 40(7) (July 1992) 1633-1642]. The performance of the new algorithm, called noise resilient variable step size (NRVSS), is less sensitive than VSS to the power of the measurement ...
Márcio Holsbach Costa +1 more
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A new Variable step-Size strategy for adaptive networks
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011Several algorithms have been developed over the last few years that utilize the distributed nature of an ad hoc wireless sensor network to estimate a certain parameter of interest. One such algorithm is called the diffusion least mean squares (DLMS) algorithm.
Muhammad Omer Bin Saeed +1 more
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A variable step‐size diffusion affine projection algorithm
International Journal of Communication Systems, 2015SummaryThis paper presents a new variable step‐size diffusion affine projection algorithm (VSS‐DAPA) to advance the filter performance of the diffusion affine projection algorithm (DAPA). The proposed VSS strategy is developed for the DAPA, which can solve the distributed estimation problem over diffusion networks well.
JinWoo Yoo +3 more
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Variable Step-Size LMS Algorithm for Fractal Signals
IEEE Transactions on Signal Processing, 2008This paper presents a novel variable step-size LMS (VSLMS) algorithm for tracking signals from the Gaussian 1/fbeta family of fractal signals that are inherently nonstationary. The proposed algorithm differs from the existing VSLMS algorithms in the following ways: 1) it deals with a specific class of nonstationary signals, 2) it utilizes a nondiagonal
Anubha Gupta, Shiv Dutt Joshi
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A New Robust Variable Step-Size NLMS Algorithm
IEEE Transactions on Signal Processing, 2008A new framework for designing robust adaptive filters is introduced. It is based on the optimization of a certain cost function subject to a time-dependent constraint on the norm of the filter update. Particularly, we present a robust variable step-size NLMS algorithm which optimizes the square of the a posteriori error.
Leonardo Rey Vega +3 more
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A variable step-size GMDF and its performance analysis
2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011Numerous time-domain variable step-size normalized least mean square algorithms have been derived to solve the dilemma of fast convergence rate or low excess mean-square error in the past two decades. This paper proposes a variable step-size control method for the generalized frequency-domain multidelay adaptive filter (GMDF), which is an attractive ...
Hsu Chang Huang, Junghsi Lee
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Fast implementation of evolutionary variable step size algorithm
Proceedings of IEEE International Conference on Evolutionary Computation, 2002A new variable step size algorithm, namely the evolutionary variable step size (EVS) algorithm, has been recently proposed by the authors. The EVS algorithm employs the concept of evolution that the step size of the adaptive filter is evolved regularly in a controlled manner and the fittest step size candidate is chosen for the subsequent adaptation ...
C. Y. Ching, Sin Chun Ng, Shu Hung Leung
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Analysis and implementation of variable step size adaptive algorithms
IEEE Transactions on Signal Processing, 1993Stochastic gradient adaptive filtering algorithms using variable step sizes are investigated. The variable-step-size algorithm improves the convergence rate while sacrificing little in steady-state error. Expressions describing the convergence of the mean and mean-squared values of the coefficients are developed and used to calculate the mean-square ...
Joseph B. Evans, Ping Xue 0004, Bede Liu
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A simple variable step size LMS adaptive algorithm
International Journal of Circuit Theory and Applications, 2004AbstractA new LMS based variable step size adaptive algorithm is presented. The step size is incremented or decremented by a small positive value, whenever the instantaneous error is positive or negative, respectively. The algorithm is simple, robust and efficient. It is characterized by fast convergence and low steady state mean squared error.
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New variable step size affine projection algorithms
2012 9th International Conference on Communications (COMM), 2012In this paper, we propose new variable step size affine projection algorithms whose step sizes are adjusted according to the square of a time-averaging estimate of the autocorrelation of a priori and a posteriori errors. The proposed algorithms have fast convergence, robustness against near-end signal variations (including double-talk) and do not ...
Felix Albu +2 more
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