Minimax robust nonstationary signal estimation based on a \(p\)-point uncertainty model

DOI10.1016/S0016-0032(00)00027-2zbMath0981.93073OpenAlexW2090917504WikidataQ127230346 ScholiaQ127230346MaRDI QIDQ5942714

Franz Hlawatsch, Gerald Matz

Publication date: 1 March 2002

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0016-0032(00)00027-2

zbMATH Keywords

\(p\)-point uncertainty modelnonstationary Wiener filteringrobust signal estimationsecond order statisticssubspace energiestime-frequency signal processing

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Signal detection and filtering (aspects of stochastic processes) (60G35)

Related Items (3)

LQG homing problem with a maximin cost ⋮ Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification ⋮ Minimax robust nonstationary signal estimation based on a \(p\)-point uncertainty model

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Linear operator theory in engineering and science. Repr. of the 1971 orig., publ. by Holt, Rinehart \& Winston, Inc.
• Time-frequency signal processing based on the Wigner-Weyl framework
• Time-frequency formulation, design, and implementation of time-varying optimal filters for signal estimation
• Robust techniques for signal processing: A survey
• On the distribution of positive-definite Gaussian quadratic forms
• A Simple Wilson Orthonormal Basis with Exponential Decay
• Time-frequency transfer function calculus (symbolic calculus) of linear time-varying systems (linear operators) based on a generalized underspread theory
• Second-order time-frequency synthesis of nonstationary random processes
• Interpolation zwischen den Klassen 𝔖_p von Operatoren in Hilberträumen
• Minimax robust nonstationary signal estimation based on a \(p\)-point uncertainty model

This page was built for publication: Minimax robust nonstationary signal estimation based on a \(p\)-point uncertainty model