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A defect-tolerant systolic array implementation for real time image processing

  • V. Hecht
  • K. Rönner
  • P. Pirsch
Article

Abstract

An advanced defect tolerant systolic array implementation of the 2D convolution algorithm for real time image processing applications has been full-custom designed and fabricated using standard CMOS technology. The bit-serial systolic array incorporates new architectural concepts and circuit techniques fitting a defect tolerant design approach. Therefore high performance and high yield enhancement is achieved.

The defect tolerance techniques are based on software controlled defect localization and reconfiguration with programmable switches by a host-processor or a VLSI-tester.

The chips functionality differs to available convolution chips by the maximum kernel size of 256 taps, the ability to convolve one video signal with up to four independent coefficient masks, support of adaptive filtering, on-chip line delays and implemented special processing of frames borders.

High performance implementations of signal processing algorithms require large chip die sizes. The presented defect tolerance techniques and architectural concepts make systolic large area implementations of signal processing algorithms feasible.

Keywords

Line Delay Systolic Array Mask Size Reconfiguration Network Real Time Image Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1993

Authors and Affiliations

  • V. Hecht
    • 1
  • K. Rönner
    • 1
  • P. Pirsch
    • 1
  1. 1.Labomtorium für InformationstechnologieUniversität HannoverHannover 1

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