Robust RLS Wiener Signal Estimators for Discrete-Time Stochastic Systems with Uncertain Parameters | Zendy

Seiichi Nakamori | Zendy

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Robust RLS Wiener Signal Estimators for Discrete-Time Stochastic Systems with Uncertain Parameters

Author(s) -

Seiichi Nakamori

Publication year - 2018

Publication title -

frontiers in signal processing

Language(s) - English

Resource type - Journals

eISSN - 2521-7380

pISSN - 2521-7372

DOI - 10.22606/fsp.2019.31001

Subject(s) - wiener filter , estimator , kalman filter , state vector , white noise , control theory (sociology) , mathematics , covariance matrix , autoregressive model , covariance , signal (programming language) , signal transfer function , recursive least squares filter , filter (signal processing) , noise (video) , wiener deconvolution , adaptive filter , algorithm , computer science , statistics , analog signal , digital signal processing , deconvolution , artificial intelligence , blind deconvolution , control (management) , programming language , physics , classical mechanics , image (mathematics) , computer vision , computer hardware

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