SBNR (Signed Binary Number Representations) Digital Signal Processor Architecture.

Abstract

The following research was proposed in a three-year period. This constitutes significantly distinct efforts which complement the existing efforts in current adaptive signal processor architecture research. Briefly, these tasks comprised a study of non-conventional number system implementations focusing on VSLI enhancements attributable to redundant number systems. This increased practical knowledge should add impetus to many potential signal processing tasks (target trackers, beamformers, communication, receivers, spread spectrum). Three diverse, yet tightly coupled, research topic were posed, centering on the usage of Signed-Digit (SD) arithmetic to solve mult/acc intensive signal processing tasks (streaming data). Efficient implementations for signed-digit arithmetic were sought for systolic arrays. Connectivity and control were investigated for inherent fault-tolerance. Lastly, multiple-valued logic for the Signed Binary number Representations (SBNR) was studied for both fault-tolerance and array regularity. The dominant and focused application of this research was efficient solutions of specific signal processing algorithms. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 31, 1987
Accession Number
ADA184603

Entities

People

  • David James
  • Michael Benjamin Andrews

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Complementary Metal-Oxide Semiconductors
  • Computational Science
  • Computer Programming
  • Computer Science
  • Content Addressable Memory
  • Digital Signal Processing
  • Electrical Engineering
  • Information Processing
  • Logic Gates
  • Mathematical Filters
  • Network Science
  • Parallel Computing
  • Parallel Processing
  • Parallel Processors
  • Processing Equipment
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Parallel and Distributed Computing.
  • Systems Analysis and Design
  • Theoretical Analysis.