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A programmable cellular neural network circuit

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Published:04 September 2004Publication History

ABSTRACT

In this paper we propose and develop a fully programmable CNN circuit. The CNN coefficients are digitally programmable using a Digital to Analog Converter (DAC), resulting in added flexibility.CNNs with 4x4 and 16x16 cells are designed and tested, exhibiting good accuracy when compared with Matlab and Java applications for computing CNNs.All circuits are designed and implemented with a 0.35um CMOS technology. The layout of a full 4x4 CNN was designed using Cadence Design Framework II. The circuits are simulated with Pspice/Spectre.

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  1. A programmable cellular neural network circuit

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      cover image ACM Conferences
      SBCCI '04: Proceedings of the 17th symposium on Integrated circuits and system design
      September 2004
      296 pages
      ISBN:1581139470
      DOI:10.1145/1016568

      Copyright © 2004 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 September 2004

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      Overall Acceptance Rate133of347submissions,38%

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