Wiener filter design using polynomial equations
From MaRDI portal
Publication:3986214
DOI10.1109/78.97994zbMath0758.93069OpenAlexW2061834319MaRDI QIDQ3986214
Publication date: 27 June 1992
Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/3e69bc7469c33591458c1c6ec37e860ab2bcdd8e
spectral factorizationsmootherspredictorsoptimal filterslinear polynomial equationstime discrete problems
Related Items
MMSE deconvolution via polynomial methods and its dual LQG regulation, Optimal and self-tuning white noise estimators with applications to deconvolution and filtering problems, A prediction perspective on the Wiener–Hopf equations for time series, Optimal parallel model solutions using the polynomial approach, Toeplitz matrices for LTI systems, an illustration of their application to Wiener filters and estimators, Descriptor Wiener state estimators, Az-domain transfer function solution to the non-minimum phase acoustic beamformer, A dynamical interval Newton method, Unnamed Item, Robust filtering and feedforward control based on probabilistic descriptions of model errors, Filtering, smoothing and prediction using a control-loop spectral factorization method for coloured noise, Self-tuning weighted fusion Kalman filter for ARMA signal with colored measurement noise and its convergence analysis, Diophantine equations in control. -- A survey