Kevin T. Wagner

22 papers Misc 17Journal 2Unranked 3
YearRankTypeTitle / Venue / Authors
2017 Misc conf
Distributed linear prediction in the presence of noise and multipath.
CISS
Kevin T. Wagner, Milos I. Doroslovacki
2016 Misc conf
Distributed LMS estimation of scaled and delayed impulse responses.
ICASSP
Kevin T. Wagner, Milos I. Doroslovacki
2016 Misc conf
Distributed linear prediction of a single source.
ACSSC
Kevin T. Wagner, Milos I. Doroslovacki
2015 Misc conf
Improving convergence of distributed LMS estimation by enabling propagation of good estimates through bad nodes.
ACSSC
Kevin T. Wagner, Milos I. Doroslovacki
2014 Misc conf
Combination coefficients for fastest convergence of distributed LMS estimation.
ICASSP
Kevin T. Wagner, Milos I. Doroslovacki
2014 Misc conf
Performance of proportionate-type NLMS algorithm with gain allocation proportional to the mean square weight deviation.
ACSSC
Kevin T. Wagner, Milos I. Doroslovacki
2013 Misc conf
Complex proportionate-type affine projection algorithms.
ACSSC
Kevin T. Wagner, Milos I. Doroslovacki
2013 Misc conf
Transform domain CPtNLMS algorithms.
CISS
Kevin T. Wagner, Milos I. Doroslovacki
2012 Misc conf
Comparisons of one and two adaptation gain complex PtNLMS algorithms.
CISS
Kevin T. Wagner, Milos I. Doroslovacki
2012 — conf
Complex colored water-filling algorithm for gain allocation in proportionate adaptive filtering.
ACSCC
Kevin T. Wagner, Milos I. Doroslovacki
2012 Misc conf
Complex proportionate-type normalized least mean square algorithms.
ICASSP
Kevin T. Wagner, Milos I. Doroslovacki
2011 — conf
Joint conditional and steady-state probability densities of weight deviations for proportionate-type LMS algorithms.
ACSCC
Kevin T. Wagner, Milos I. Doroslovacki
2011 J jnl
Probability Density of Weight Deviations Given Preceding Weight Deviations for Proportionate-Type LMS Adaptive Algorithms.
IEEE Signal Process. Lett.
Kevin T. Wagner, Milos Doroslovacki
2011 J jnl
Proportionate-Type Normalized Least Mean Square Algorithms With Gain Allocation Motivated by Mean-Square-Error Minimization for White Input.
IEEE Trans. Signal Process.
Kevin T. Wagner, Milos Doroslovacki
2011 Misc conf
Proportionate-type normalized least mean square algorithm with gain allocation motivated by minimization of mean-square-weight deviation for colored input.
ICASSP
Kevin T. Wagner, Milos Doroslovacki
2011 Misc conf
Reduced computational complexity suboptimal gain allocation for proportionate-type NLMS algorithms with colored inputs.
CISS
Kevin T. Wagner, Milos Doroslovacki
2010 Misc conf
Proportionate-type NLMS algorithms based on maximization of the joint conditional PDF for the weight deviation vector.
ICASSP
Kevin T. Wagner, Milos Doroslovacki
2009 Misc conf
Gain allocation in proportionate-type NLMS algorithms for fast decay of output error at all times.
ICASSP
Kevin T. Wagner, Milos Doroslovacki
2009 Misc conf
Proportional-type NLMS algorithm with gain allocation providing maximum one-step conditional PDF for true weights.
CISS
Kevin T. Wagner, Milos Doroslovacki
2008 — conf
Analytical analysis of transient and steady-state properties of the proportionate NLMS algorithm.
ACSCC
Kevin T. Wagner, Milos I. Doroslovacki
2008 Misc conf
Towards analytical convergence analysis of proportionate-type nlms algorithms.
ICASSP
Kevin T. Wagner, Milos Doroslovacki
2007 Misc conf
Proportionate-Type Steepest Descent and NLMS Algorithms.
CISS
Kevin T. Wagner, Milos Doroslovacki