Robust deconvolution for ARMAX models with Gaussian uncertainties

DOI10.1016/j.sigpro.2010.05.014zbMath1197.94094OpenAlexW2069484692MaRDI QIDQ1957909

José A. De Doná, Ruben H. Milocco

Publication date: 27 September 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.05.014

zbMATH Keywords

robust filteringtruncated Gaussian distributionstochastic uncertaintiesquadratic programmerobust deconvolution

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

\(H_\infty\) deconvolution filter design for uncertain linear discrete time-variant systems: a Krein space approach

Cites Work

• Robust joint channel and noise estimation in Bayesian blind equalizers
• Cost guaranteed robust sampled-data parallel model design using polynomial approach
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• Robust filtering under stochastic parametric uncertainties
• Robust H/sub 2/ filtering for uncertain systems with measurable inputs
• On linear H/sup ∞/ equalization of communication channels
• Robust H/sub ∞/ filtering of stationary continuous-time linear systems with stochastic uncertainties
• Statistically Robust Design of Linear MIMO Transceivers
• Robust MSE equalizer design for MIMO communication systems in the presence of model uncertainties
• A probabilistic approach to multivariable robust filtering and open-loop control

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