Weighted least squares design of 2-D FIR filters using a matrix-based generalized conjugate gradient method

DOI10.1016/j.jfranklin.2016.03.001zbMath1347.93260OpenAlexW2293222048MaRDI QIDQ327985

Zhiping Lin, Ruijie Zhao, Xiaoping Lai

Publication date: 20 October 2016

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.03.001

zbMATH Keywords

computational complexitylinear operator equationgeneralized conjugate gradient methodfinite impulse response (FIR) filtersweighted least-squares (WLS)

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Applications of operator theory in systems, signals, circuits, and control theory (47N70)

Related Items (2)

Fusion estimation for stochastic uncertain systems with time-correlated rician fading channels ⋮ A matrix-based IRLS algorithm for the least \(l_p\)-norm design of 2-D FIR filters

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