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A variable step size LMS algorithm
IEEE Transactions on Signal Processing, 1992A least-mean-square (LMS) adaptive filter with a variable step size is introduced. The step size increases or decreases as the mean-square error increases or decreases, allowing the adaptive filter to track changes in the system as well as produce a small steady state error. The convergence and steady-state behavior of the algorithm are analyzed.
R H Kwong
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The convex variable step-size (CVSS) algorithm
IEEE Signal Processing Letters, 2000 This letter introduces the convex variable step-size (CVSS) algorithm. The convexity of the resulting cost function is guaranteed. Simulations presented show that with the proposed algorithm, we obtain similar results, as with the VSS algorithm in initial convergence, while there are potential performance gains when abrupt changes occur.
Corneliu Rusu, Colin F. N. Cowan
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Variable Step-Size Sign Subband Adaptive Filter
IEEE Signal Processing Letters, 2013 This letter proposes a variable step-size sign subband adaptive filter (SSAF) based on the minimization of mean-square deviation (MSD). In the process of minimizing the MSD, because it is not feasible to know the exact value of the MSD, the step size is derived by minimizing the upper bound of the MSD in each iteration. The proposed algorithm uses this
JaeWook Shin, JinWoo Yoo, PooGyeon Park
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A variable step‐size diffusion affine projection algorithm
International Journal of Communication Systems, 2015 SummaryThis 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 NLMS and Affine Projection Algorithms
IEEE Signal Processing Letters, 2004 This 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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Variable step-size LMS algorithm with a quotient form
Signal Processing, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shengkui Zhao +3 more
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