Description: The research in this dissertation addresses reduced rank adaptive signal processing,
with speci c emphasis on the multistage Wiener lter (MWF). The MWF is a
generalization of the classical Wiener lter that performs a stage-by-stage decomposition
based on orthogonal projections. Truncation of this decomposition produces a
reduced rank lter with many bene ts, for example, improved performance.
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Hiemstra_Dissertation_10Apr03.pdf
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