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The Selection of the Step-Size Factor in the Variable Step-Size CMA
2011This paper analyses the selection of the step-size factor in a new variable step-size constant modulus algorithm (CMA) based on mean square error (MSE) and determines the value range of the step-size factor by computer simulation, which establishes the solid foundation to the convergence superiority of the new algorithm by computer simulation.
Jia Liu, Baofeng Zhao
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VARIABLE STEP-SIZE STÖRMER METHODS
Computational Methods in Sciences and Engineering 2003, 2003Although it is possible to integrate a special second-order differential equation of the form y''(x) = f(x,y(x)), y(x0) = y0, y'(x0) = y'0 (1) by reducing it to a first order system and applying one of the methods available for those systems, it seems more natural to provide numerical methods to integrate (1) directly without using first derivatives ...
H. RAMOS, J. VIGO-AGUIAR
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A variable step size LMS algorithm
Proceedings of the 33rd Midwest Symposium on Circuits and Systems, 2002A variable step size LMS algorithm is proposed. The variable step size LMS algorithm has a big step size at the beginning, for a maximum convergence speed, and a much smaller step size after the convergence, for a minimum residual error. The algorithm is derived according to the shortest distance norm between the Kalman gain and the LMS gain vectors ...
W.Y. Chen, R.A. Haddad
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Variable Step Size Technique for Adaptive Blind Decorrelation
Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007Blind decorrelation is a related task to blind source separation (BSS) which is applicable to numerous problems. A critical challenge in adaptive blind decorrelation (ABD) is the choice of step size to achieve fast initial convergence speed and low steady state error in time-varying systems.
Shifeng Ou, Xiaohui Zhao, Ying Gao 0007
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A variable step-size affine projection algorithm
Digital Signal Processing, 2010In this paper, we propose a new time-varying step-size for the affine projection (AP) algorithm based on the minimization of the mean-square error (MSE) at each time instant. The step-size is dependent on accessible quantities and, therefore, does not need approximation.
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Diffusion Sparse Sign Algorithm with Variable Step-Size
Circuits, Systems, and Signal Processing, 2018In this paper, we propose the diffusion sparse sign algorithm with variable step-size for distributed estimation in sparse and impulsive interference environments. Firstly, we address the problem of in-network distributed estimation for sparse vectors under the impulsive noise environment.
Feng Chen 0023 +4 more
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An efficient and effective variable step size NLMS algorithm
2008 42nd Asilomar Conference on Signals, Systems and Computers, 2008Using the least-mean-square (LMS) and the normalized LMS (NLMS) algorithms, the adaptive filter usually results in a trade-off between the convergence speed and adaptation precision. Recently, in order to resolve this problem, several variable step size NLMS (VSS-NLMS) algorithms that provide faster convergence than the LMS and NLMS have been proposed.
Hideki Takekawa +2 more
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Variable Step-Size NLMS and Affine Projection Algorithms
IEEE Signal Processing Letters, 2004This letter proposes two new variable step-size algorithms for normalized least mean square and affine projection. The proposed schemes lead to faster convergence rate and lower misadjustment error.
Shin, HC, Sayed, AH, Song, WJ
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Evaluation and design of variable step size adaptive algorithms
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002This paper presents a new methodology for evaluation and design of variable step size adaptive algorithms. The new methodology is based on a learning plane, which combines the evolutions of both the step size and the mean square error. It includes both transient and steady-state behaviors and can be used to compare performances of different algorithms ...
Cássio Guimarães Lopes +1 more
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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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