Linear systems and normality

DOI10.1007/BF01013306zbMath0509.60039MaRDI QIDQ1838223

Z. Kotulski, K. Sobczyk

Publication date: 1981

Published in: Journal of Statistical Physics (Search for Journal in Brave)

zbMATH Keywords

linear systemsdeparture from normality

Mathematics Subject Classification ID

Gaussian processes (60G15) Signal detection and filtering (aspects of stochastic processes) (60G35) Stochastic systems in control theory (general) (93E03)

Related Items (4)

Characteristic functionals of randomly excited physical systems ⋮ Maximum entropy in the Hamburger moments problem ⋮ Application of the separability assumption on the statistics of linear SDOF systems under squared Gaussian excitation ⋮ Linear random vibration by stochastic reduced-order models

Cites Work

• Elastic wave propagation in a discrete random medium
• The central limit theorem for dependent random variables
• A CENTRAL LIMIT THEOREM AND A STRONG MIXING CONDITION
• Linear processes are nearly Gaussian
• High density shot noise and gaussianity
• Narrow-band systems and Gaussianity

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