Abstract
The linear statistical model describes signals that are linear combinations of multiple modes. In this paper, we review the detection, estimation, and identification of such signals, paying special attention to the role played by projection operators and their low rank approximations. Projection operators provide a unified framework for several conventional concepts in signal processing and lead to new applications of the linear statistical model. Low rank approximations reduce computational requirements and broaden the range of practical uses for projections. As a point of departure, we discuss a VLSI chip we have developed for computing projections.
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© 1989 Kluwer Academic Publishers
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Scharf, L.L. (1989). Signal Processing in the Linear Statistical Model. In: Chan, Y.T. (eds) Underwater Acoustic Data Processing. NATO ASI Series, vol 161. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2289-1_25
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DOI: https://doi.org/10.1007/978-94-009-2289-1_25
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7527-5
Online ISBN: 978-94-009-2289-1
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