Optimal joint estimation and identification theorem to linear Gaussian system with unknown inputs

Research article (Signal Processing, 2019) · cited 14× · AI/ML
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Optimal joint estimation and identification theorem to linear Gaussian system with unknown inputs

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Optimal joint estimation and identification theorem to linear Gaussian system with unknown inputs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimal joint estimation and identification theorem to linear Gaussian system with unknown inputs. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-joint-estimation-and-identification-theorem-to-linear-gaussian-system-with-unknown-inputs
MLA “Optimal joint estimation and identification theorem to linear Gaussian system with unknown inputs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-joint-estimation-and-identification-theorem-to-linear-gaussian-system-with-unknown-inputs.
BibTeX @misc{4ortxyz_optimal-joint-estimation-and-identification-theorem-to-linear-gaussian-system-with-unknown-inputs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal joint estimation and identification theorem to linear Gaussian system with unknown inputs}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-joint-estimation-and-identification-theorem-to-linear-gaussian-system-with-unknown-inputs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimal joint estimation and identification theorem to linear Gaussian system with unknown inputs — https://4ort.xyz/entity/optimal-joint-estimation-and-identification-theorem-to-linear-gaussian-system-with-unknown-inputs (retrieved 2026-05-24)

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