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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 27, Iss. 8 — Apr. 15, 1988
  • pp: 1607–1611

Reduced sensitivity algorithm for optical processors using constraints and ridge regression

David Casasent and Anjan Ghosh  »View Author Affiliations


Applied Optics, Vol. 27, Issue 8, pp. 1607-1611 (1988)
http://dx.doi.org/10.1364/AO.27.001607


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Abstract

Optical linear algebra processors that involve solutions of linear algebraic equations have significant potential in adaptive and inference machines. We present an algorithm that includes constraints on the accuracy of the processor and improves the accuracy of the results obtained from such analog processors. The constraint algorithm matches the problem to the accuracy of the processor. Calculation of the adaptive weights in a phased array radar is used as a case study. Simulation results prove the benefits advertised. The desensitization of the calculated weights to computational errors in the processor is quantified. Ridge regression is used to determine the parameter needed in the algorithm.

© 1988 Optical Society of America

History
Original Manuscript: August 31, 1987
Published: April 15, 1988

Citation
David Casasent and Anjan Ghosh, "Reduced sensitivity algorithm for optical processors using constraints and ridge regression," Appl. Opt. 27, 1607-1611 (1988)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-27-8-1607


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References

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