Kevin T. Wagner

According to our database1, Kevin T. Wagner authored at least 22 papers between 2007 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2017
Distributed linear prediction in the presence of noise and multipath.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2016
Distributed LMS estimation of scaled and delayed impulse responses.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Distributed linear prediction of a single source.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Improving convergence of distributed LMS estimation by enabling propagation of good estimates through bad nodes.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Combination coefficients for fastest convergence of distributed LMS estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

Performance of proportionate-type NLMS algorithm with gain allocation proportional to the mean square weight deviation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Transform domain CPtNLMS algorithms.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

Complex proportionate-type affine projection algorithms.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Complex proportionate-type normalized least mean square algorithms.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Comparisons of one and two adaptation gain complex PtNLMS algorithms.
Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Complex colored water-filling algorithm for gain allocation in proportionate adaptive filtering.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Proportionate-Type Normalized Least Mean Square Algorithms With Gain Allocation Motivated by Mean-Square-Error Minimization for White Input.
IEEE Trans. Signal Process., 2011

Probability Density of Weight Deviations Given Preceding Weight Deviations for Proportionate-Type LMS Adaptive Algorithms.
IEEE Signal Process. Lett., 2011

Proportionate-type normalized least mean square algorithm with gain allocation motivated by minimization of mean-square-weight deviation for colored input.
Proceedings of the IEEE International Conference on Acoustics, 2011

Reduced computational complexity suboptimal gain allocation for proportionate-type NLMS algorithms with colored inputs.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Joint conditional and steady-state probability densities of weight deviations for proportionate-type LMS algorithms.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Proportionate-type NLMS algorithms based on maximization of the joint conditional PDF for the weight deviation vector.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Gain allocation in proportionate-type NLMS algorithms for fast decay of output error at all times.
Proceedings of the IEEE International Conference on Acoustics, 2009

Proportional-type NLMS algorithm with gain allocation providing maximum one-step conditional PDF for true weights.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

2008
Towards analytical convergence analysis of proportionate-type nlms algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2008

Analytical analysis of transient and steady-state properties of the proportionate NLMS algorithm.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Proportionate-Type Steepest Descent and NLMS Algorithms.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007


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