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Bias‐compensated affine‐projection‐like algorithms with noisy input.
- Source :
-
Electronics Letters (Wiley-Blackwell) . Apr2016, Vol. 52 Issue 7, p712-714. 3p. - Publication Year :
- 2016
-
Abstract
- A new class of bias‐compensated affine‐projection‐like (APL) algorithms is proposed, in which a bias‐compensation vector is derived to eliminate the bias caused by the noisy input. In addition, a new estimation method for the input noise variance is proposed which does not require the input–output noise variance ratio in advance. Simulations in a system identification context show that the proposed algorithms achieve significant improvements in steady‐state misalignment as compared with the conventional APL algorithms. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00135194
- Volume :
- 52
- Issue :
- 7
- Database :
- Academic Search Index
- Journal :
- Electronics Letters (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 148784752
- Full Text :
- https://doi.org/10.1049/el.2015.3550