Normalization and convergence of gradient-based algorithms for adaptive IIR filters

DOI10.1016/0165-1684(95)00069-PzbMATH Open0925.94029MaRDI QIDQ671968

Markus Rupp

Publication date: 27 February 1997

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

zbMATH Keywords

ConvergenceNormalizationStabilityAdaptive IIR filtersGradient-type algorithm

Mathematics Subject Classification ID

Stochastic systems and control (93E99) Filtering in stochastic control theory (93E11) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (4)

Steady-state analysis of a plain gradient algorithm for a second-order adaptive IIR notch filter with constrained poles and zeros ⋮ A general class of nonlinear normalized adaptive filtering algorithms ⋮ Analysis of conjugate gradient algorithms for adaptive filtering. ⋮ A hybrid gradient-based and differential evolution algorithm for infinite impulse response adaptive filtering

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