Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters
Two new fast tracking exponentially weighted conventional recursive least-squares (RLS) algorithms of adaptation of the adaptive Volterra filters (AVF) for time-varying systems are presented. The new algorithms are based on a modification of a priciple of variable forgetting factor with unity zone [...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
1995-04-01
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| Series: | Radioengineering |
| Online Access: | http://www.radioeng.cz/fulltexts/1995/95_01_05.pdf |
| _version_ | 1818252154300792832 |
|---|---|
| author | D. Kocur J. Vasko |
| author_facet | D. Kocur J. Vasko |
| author_sort | D. Kocur |
| collection | DOAJ |
| description | Two new fast tracking exponentially weighted conventional recursive least-squares (RLS) algorithms of adaptation of the adaptive Volterra filters (AVF) for time-varying systems are presented. The new algorithms are based on a modification of a priciple of variable forgetting factor with unity zone [1]. Their additional computational complexity due to the forgetting factor adaptation is negligible compared to that of conventional RLS algorithms. The performance properties of the proposed algorithms are verified via computer experiments. |
| first_indexed | 2024-12-12T16:19:40Z |
| format | Article |
| id | doaj.art-778d4f81ac454ef09a168c36bafeec17 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-12-12T16:19:40Z |
| publishDate | 1995-04-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-778d4f81ac454ef09a168c36bafeec172022-12-22T00:19:01ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25121995-04-0141Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital FiltersD. KocurJ. VaskoTwo new fast tracking exponentially weighted conventional recursive least-squares (RLS) algorithms of adaptation of the adaptive Volterra filters (AVF) for time-varying systems are presented. The new algorithms are based on a modification of a priciple of variable forgetting factor with unity zone [1]. Their additional computational complexity due to the forgetting factor adaptation is negligible compared to that of conventional RLS algorithms. The performance properties of the proposed algorithms are verified via computer experiments.www.radioeng.cz/fulltexts/1995/95_01_05.pdf |
| spellingShingle | D. Kocur J. Vasko Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters Radioengineering |
| title | Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters |
| title_full | Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters |
| title_fullStr | Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters |
| title_full_unstemmed | Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters |
| title_short | Fast Tracking RLS Adaptation Algorithms of the Second-Order Volterra Digital Filters |
| title_sort | fast tracking rls adaptation algorithms of the second order volterra digital filters |
| url | http://www.radioeng.cz/fulltexts/1995/95_01_05.pdf |
| work_keys_str_mv | AT dkocur fasttrackingrlsadaptationalgorithmsofthesecondordervolterradigitalfilters AT jvasko fasttrackingrlsadaptationalgorithmsofthesecondordervolterradigitalfilters |