Nonlinear normalized LMS-type adaptive algorithms for digital filters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F03%3A00000026" target="_blank" >RIV/49777513:23220/03:00000026 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Nonlinear normalized LMS-type adaptive algorithms for digital filters
Original language description
Adaptive algorithms are used to adjust the coefficients of the digital filter such that error signal is minimized according to some criterion, for example in the least squares sense. The Nonlinear Normalized Mean Square algorithm is applicable to a widevariety of nonlinear filters. In this paper, algorithms are developed for an optimal time-varying step-size in linear and nonlinear adaptive filtering. Computer simulations are also included.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
7th International Symposium on Communication Theory and Applications
ISBN
085316-237-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
131-135
Publisher name
HW Communications Ltd
Place of publication
Ambleside
Event location
Ambleside
Event date
Jul 12, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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