Abstract: A general theory of constant-parameter modular lattice models for discrete-time nonstationary second-order processes is presented.
The main objective of this paper is to develop lattice filter models for nonstationary processes whose spectral functions are an interesting generalization ...
A general theory of constant-parameter modular lattice models for discrete-time nonstationary second-order processes is presented and a complete ...
The dissertation presents a general theory of constant-parameter modular lattice models for nonstationary, discrete-time, second-order processes.
Missing: parameterization | Show results with:parameterization
Correction to 'Lattice Filter Parametrization and Modeling of ...
dl.acm.org › doi › TIT.1984.1056966
Lattice filter parameterization and modeling of nonstationary processes. A general theory of constant-parameter modular lattice models for discrete-time ...
Lattice filter parameterization and modeling of nonstationary processes. H Lev-Ari, T Kailath. IEEE Transactions on Information Theory 30 (1), 2-16, 1984. 145 ...
Oct 22, 2024 · The paper presents the modification of lattice RLS adaptive filtering algorithms for the case of nonstationary signal processing.
In this paper the author proposes to use the Least Squares Lattice filter with forgetting factor to estimate time-varying parameters of the model for noise ...
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Modeling nonstationary processes is of paramount importance to many scientific disciplines including environmental science, ecology, and finance, among.
PDF | In this paper the author proposes to use the Least Squares Lattice filter with forgetting factor to estimate time-varying parameters of the model.
Missing: parameterization | Show results with:parameterization