Design of a Random-Pulse Computer for Classifying Binary Patterns

  • Authors:

  • L. R. Goke;K. L. Doty

  • Affiliations:

  • Department of Electrical Engineering, University of Florida;-

  • Venue:
  • IEEE Transactions on Computers
  • Year:
  • 1972

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Abstract

This paper proposes a novel design for a parallel nonadaptive binary pattern classifier. The structure employs random-pulse (stochastic) computing elements to economically realize multimodal nonlinear discriminant functions similar in form to those used in potential function classifiers. The technique achieves efficient hardware utilization by employing a READ-ONLY memory (ROM) without addressing circuits to store modes and simultaneously execute parallel stochastic multiplications required in discriminant function computations.