Time-frequency formulation, design, and implementation of time-varying optimal filters for signal estimation

DOI10.1109/78.839987zbMath1010.94521OpenAlexW2115687448MaRDI QIDQ2734337

Werner Kozek, Heinrich Kirchauer, Franz Hlawatsch, Gerald Matz

Publication date: 14 August 2001

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/78.839987

zbMATH Keywords

time-varying systemstime-frequency analysissignal enhancementsignal estimationWiener filtersnonstationary random processesoptimal filters

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11) Inference from stochastic processes and spectral analysis (62M15) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (4)

Minimax robust nonstationary signal estimation based on a \(p\)-point uncertainty model ⋮ Gabor discretization of the Weyl product for modulation spaces and filtering of nonstationary stochastic processes ⋮ Gabor Expansions of Signals: Computational Aspects and Open Questions ⋮ On Wiener filtering of certain locally stationary stochastic processes

This page was built for publication: Time-frequency formulation, design, and implementation of time-varying optimal filters for signal estimation