Online data centering modifications for adaptive filtering with NLMS algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F16%3A00305511" target="_blank" >RIV/68407700:21220/16:00305511 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7727413" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7727413</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IJCNN.2016.7727413" target="_blank" >10.1109/IJCNN.2016.7727413</a>

Result language
angličtina
Original language name
Online data centering modifications for adaptive filtering with NLMS algorithm
Original language description
This paper presents method with two modifications how to transform data in real-time for better performance of normalized least mean squares (NLMS) algorithm. The method centers input vector for adaptive filter online according to temporary or historical statistical attributes of the input vector. The method is derived for an adaptive filter with NLMS adaptation. The filter implementation is the linear neural unit. The stability condition for the given filter is also presented. The filter is tested on multiple simulated time series contaminated with white noise. The convergence of the suggested algorithms is also analyzed and time complexity is discussed.
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of International Joint Conference on Neural Networks 2016
ISBN
9781509006199
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
1767-1771
Publisher name
IEEE
Place of publication
New York
Event location
Vancouver
Event date
Jul 24, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)