Filtering and compression for infinite sets of stochastic signals

DOI10.1016/j.sigpro.2008.08.011zbMath1151.93433OpenAlexW2020030637MaRDI QIDQ2517846

Anatoli Torokhti, Phil G. Howlett

Publication date: 9 January 2009

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2008.08.011

zbMATH Keywords

data compressionstochastic signals

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Filtering of infinite sets of stochastic signals: an approach based on interpolation techniques ⋮ Data compression under constraints of causality and variable finite memory ⋮ Operator Approximation for Processing of Large Random Data Sets

Cites Work

• Computational methods for modelling of nonlinear systems
• Method of recurrent best estimators of second degree for optimal filtering of random signals
• Optimal fixed rank transform of the second degree
• Generalized Rank-Constrained Matrix Approximations
• Applications of functional analysis and operator theory
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