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DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS

Abstract: 

The huge volume of data that are available today requires data-
selective processing approaches that avoid the costs in computa-
tional complexity via appropriately treating the non-innovative data.
In this paper, extensions of the well-known adaptive filtering LMS-
Newton and LMS-Quasi-Newton Algorithms are developed that
enable data selection while also addressing the censorship of out-
liers that emerge due to high measurement errors. The proposed
solutions allow the prescription of how often the acquired data are
expected to be incorporated into the learning process based on some
a priori information regarding the environment. Simulation results
on both synthetic and real-world data verify the effectiveness of
the proposed algorithms that may achieve significant reductions in
computational costs without sacrificing estimation accuracy due to
the selection of the data.

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Paper Details

Authors:
Submitted On:
14 May 2019 - 5:42am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Christos TSINOS
Paper Code:
SPTM-L1.2
Document Year:
2019
Cite

Document Files

presentation_tsinos.pdf

(23)

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[1] , "DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4505. Accessed: Aug. 24, 2019.
@article{4505-19,
url = {http://sigport.org/4505},
author = { },
publisher = {IEEE SigPort},
title = {DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS},
year = {2019} }
TY - EJOUR
T1 - DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4505
ER -
. (2019). DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS. IEEE SigPort. http://sigport.org/4505
, 2019. DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS. Available at: http://sigport.org/4505.
. (2019). "DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS." Web.
1. . DATA-SELECTIVE LMS-NEWTON AND LMS-QUASI-NEWTON ALGORITHMS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4505