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Proceedings Paper

Decomposition of random field's processing
Author(s): Alexander L. Andreyev
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Paper Abstract

In this paper we consider a technique for achieving fast computing and fast convergence multichannel digital signal processing based on reducing the dimension of processing space. Parallel decomposition of the multidimensional processing to basic transforms is proposed. Applying this decomposition for Wiener's filtering gives us the possibility to build efficient parallel computing structures. Applications of these results include high dimensional real-time image and signal processing, filtering, and so on.

Paper Details

Date Published: 21 January 1994
PDF: 5 pages
Proc. SPIE 2051, International Conference on Optical Information Processing, (21 January 1994); doi: 10.1117/12.166052
Show Author Affiliations
Alexander L. Andreyev, St. Petersburg Academy of Aerospace Instrumentation (Russia)


Published in SPIE Proceedings Vol. 2051:
International Conference on Optical Information Processing
Yuri V. Gulyaev; Dennis R. Pape, Editor(s)

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