Filtering of infinite sets of stochastic signals: an approach based on interpolation techniques

DOI10.1016/j.sigpro.2011.05.008zbMath1221.94024OpenAlexW1969815718MaRDI QIDQ634871

Anatoli Torokhti, Stanley J. Miklavcic

Publication date: 17 August 2011

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2011.05.008

zbMATH Keywords

interpolationWiener-type filtering

Mathematics Subject Classification ID

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

Related Items (2)

Stochastic gradient algorithm for multi-input multi-output Hammerstein FIR-MA-like systems using the data filtering ⋮ An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Computational methods for modelling of nonlinear systems
• Method of recurrent best estimators of second degree for optimal filtering of random signals
• Optimal recursive estimation of raw data
• Data compression under constraints of causality and variable finite memory
• Filtering and compression for infinite sets of stochastic signals
• A Method for Recursive Least Squares Filtering Based Upon an Inverse QR Decomposition
• Abstract Optimal Linear Filtering
• Decoding real block codes: activity detection Wiener estimation
• Generic Weighted Filtering of Stochastic Signals
• Optimal transform formed by a combination of nonlinear operators: the case of data dimensionality reduction
• Monitoring non-stationary burst-like signals in an interferometric gravitational wave detector

This page was built for publication: Filtering of infinite sets of stochastic signals: an approach based on interpolation techniques