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Repeated measures latent class analysis identifies unique daily cocaine-use patterns and associated clinical characteristics: A timeline followback-based analytic approach. [PDF]

Drug Alcohol Depend Rep
Mascarin AT, Burstein W, Grasser LR, Greenwald MK.   +3 more
europepmc   +1 more source

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A variable step size LMS algorithm

IEEE Transactions on Signal Processing, 1992
A 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
exaly   +2 more sources

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
core   +4 more sources

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
openaire   +4 more sources

A Variable Step Size for Normalized Subband Adaptive Filters

IEEE Signal Processing Letters, 2012
A normalized subband adaptive filter algorithm uses a fixed step size, which is chosen as a trade-off between the steady-state error and the convergence rate. In this letter, a variable step size for normalized subband adaptive filters is derived by minimizing the mean-square deviation between the optimal weight vector and the estimated weight vector ...
Jeong, JJ, Koo, K, Choi, GT, Kim, SW
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A variable step size firefly algorithm for numerical optimization

Applied Mathematics and Computation, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shuhao Yu
exaly   +2 more sources

The exponentiated convex variable step-size (ECVSS) algorithm

Signal Processing, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Corneliu Rusu, Colin F. N. Cowan
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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, Zhihong Man, Suiyang Khoo, Hong Ren Wu   +3 more
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Nonparametric Variable Step-Size LMAT Algorithm

Circuits, Systems, and Signal Processing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sihai Guan, Zhi Li
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The stability of variable step-size LMS algorithms

IEEE Transactions on Signal Processing, 1999
Variable step-site LMS (VSLMS) algorithms are a popular approach to adaptive filtering, which can provide improved performance while maintaining the simplicity and robustness of conventional fixed step-size LMS. Here, we examine the stability of VSLMS with uncorrelated stationary Gaussian data.
Saul B. Gelfand, Yongbin Wei, James V. Krogmeier   +2 more
openaire   +1 more source