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Proceedings Paper

Optical Systolic Array Processor Designs For The Linear Estimation Of Data Sequences
Author(s): Steven C. Gustafson
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Paper Abstract

Optical systolic array processing algorithms and architectures that may be appropriate for the high-speed real-time linear estimation of scalar data sequences are considered. A Kalman-filter-based algorithm for the linear prediction of such sequences is described and analyzed using simple computer simulations, and possible optical systolic array processor hardware implementations of this algorithm are briefly discussed. The overall goal is the optimization of prediction speed and accuracy as a function of the assumed order of a linear model and practical constraints such as system power consumption, size, reliability, and cost.

Paper Details

Date Published: 28 November 1984
PDF: 7 pages
Proc. SPIE 0495, Real-Time Signal Processing VII, (28 November 1984); doi: 10.1117/12.944022
Show Author Affiliations
Steven C. Gustafson, University of Dayton Research Institute (United States)

Published in SPIE Proceedings Vol. 0495:
Real-Time Signal Processing VII
Keith Bromley, Editor(s)

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