Home ›
Entities
› academia
› Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises
Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises
Research article (IEEE Transactions on Circuits & Systems II Express Briefs, 2017) · cited 31× · AI/ML
Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises
Summary
Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises is a scholarly article[1].
Key Facts
Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises. Retrieved May 24, 2026, from https://4ort.xyz/entity/proportionate-nlms-with-unbiasedness-criterion-for-sparse-system-identification-in-the-presence-of-input-and-output-nois
MLA“Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/proportionate-nlms-with-unbiasedness-criterion-for-sparse-system-identification-in-the-presence-of-input-and-output-nois.
BibTeX@misc{4ortxyz_proportionate-nlms-with-unbiasedness-criterion-for-sparse-system-identification-in-the-presence-of-input-and-output-nois_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises}}, year = {2026}, url = {https://4ort.xyz/entity/proportionate-nlms-with-unbiasedness-criterion-for-sparse-system-identification-in-the-presence-of-input-and-output-nois}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Proportionate NLMS With Unbiasedness Criterion for Sparse System Identification in the Presence of Input and Output Noises — https://4ort.xyz/entity/proportionate-nlms-with-unbiasedness-criterion-for-sparse-system-identification-in-the-presence-of-input-and-output-nois (retrieved 2026-05-24)