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• W2035288273 abstract "A unified theory is presented to characterize least-squares adaptive filters, in either lattice or transversal-filter form, for nonstationary processes. The derivations are based upon a geometric formulation of least-squares estimation and on the concept of displacement rank. A few basic geometric relations are shown to underlie the various algorithms. Insights into the fundamental concepts that unify lattice- and transversal-filter approaches to least-squares adaptive filters are also given. The general results are illustrated by applications to the so-called pre-windowed and growing-memory covariance formulations of the deterministic least-squares problem." @default.
• W2035288273 created "2016-06-24" @default.
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• W2035288273 date "1984-03-01" @default.
• W2035288273 modified "2023-09-26" @default.
• W2035288273 title "Least-squares adaptive lattice and transversal filters: A unified geometric theory" @default.
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• W2035288273 doi "https://doi.org/10.1109/tit.1984.1056882" @default.
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