Robust RLS Wiener FIR Filter for Signal Estimation in Linear Discrete-Time Stochastic Systems with Uncertain Parameters | Zendy

Seiichi Nakamori | Zendy

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Robust RLS Wiener FIR Filter for Signal Estimation in Linear Discrete-Time Stochastic Systems with Uncertain Parameters

Author(s) -

Seiichi Nakamori

Publication year - 2019

Publication title -

frontiers in signal processing

Language(s) - English

Resource type - Journals

eISSN - 2521-7380

pISSN - 2521-7372

DOI - 10.22606/fsp.2019.32001

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

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