Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments

Research article (Signal Image and Video Processing, 2017) · cited 35× · AI/ML
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Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments

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Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-proportionate-adaptive-filter-based-on-maximum-correntropy-criterion-for-sparse-system-identification-in-impulsiv
MLA “Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-proportionate-adaptive-filter-based-on-maximum-correntropy-criterion-for-sparse-system-identification-in-impulsiv.
BibTeX @misc{4ortxyz_robust-proportionate-adaptive-filter-based-on-maximum-correntropy-criterion-for-sparse-system-identification-in-impulsiv_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust proportionate adaptive filter based on maximum correntropy criterion for sparse system identification in impulsive noise environments}}, year = {2026}, url = {https://4ort.xyz/entity/robust-proportionate-adaptive-filter-based-on-maximum-correntropy-criterion-for-sparse-system-identification-in-impulsiv}, note = {Accessed: 2026-05-24}}
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