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Bias-Compensated Sign Subband Adaptive Filter Algorithm With Individual Weighting Factors for Input Noise.
- Source :
- IEEE Transactions on Circuits & Systems. Part II: Express Briefs; Mar2022, Vol. 69 Issue 3, p1872-1876, 5p
- Publication Year :
- 2022
-
Abstract
- To thoroughly exploit the decorrelation property of the traditional sign subband adaptive filter (SSAF), an individual weighting factors SSAF (IWF-SSAF) was presented. However, when the input of the adaptive filter is polluted by white Gaussian noise, the IWF-SSAF will produce estimation bias for unknown system identification. Thus, this brief proposes the bias-compensated IWF-SSAF (BC-IWF-SSAF) for resolving the above trouble. Especially, the unbiased criterion is applied to obtain compensation term for the conventional IWF-SSAF to alleviate the effect of noisy input. The proposed BC-IWF-SSAF both retains stability of impulse noise and decreases the estimated bias. The stable condition of the proposed BC-IWF-SSAF is achieved resorting to Price’s theorem with some reasonable assumptions and theorems. In addition, the complexity is given as well. Finally, simulations confirm the superiority of the proposed BC-IWF-SSAF algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15497747
- Volume :
- 69
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Circuits & Systems. Part II: Express Briefs
- Publication Type :
- Academic Journal
- Accession number :
- 155865991
- Full Text :
- https://doi.org/10.1109/TCSII.2021.3103940