THRESHOLD DECODING

Abstract

Two procedures for decoding linear systematic codes, majority decoding and a posteriori probability decoding, are formulated. The essential feature of both methods is a linear transformation of the parity-check equations of the code into 'orthogonal parity checks.' The decoding decisions are then made on the basis of the values assumed by these orthogonal parity checks. For binary codes, the principal component required in the circuitry for instrumenting these decoding rules is an ordinary threshold logical element. For this reason, these decoding rules are referred to as forms of 'threshold decoding.' It is shown that threshold decoding can be applied effectively to convolutional codes up to approximately 100 transmitted bits in length over an interesting range of rates. Very simple decoding circuits are presented for such codes. It is shown that threshold decoding is applicable to certain low-rate block codes, and that a generalization of the method is applicable to several other classes of block codes. It is shown that simple decoding circuits can be used for such codes.

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Document Details

Document Type
Technical Report
Publication Date
Apr 05, 1963
Accession Number
AD0407946

Entities

People

  • James L. Massey

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Birds
  • Buffer Storage
  • Channel Capacity
  • Coding
  • Communication Channels
  • Computations
  • Computer Programming
  • Computers
  • Decoding
  • Electrical Engineering
  • Gaussian Channels
  • Notation
  • Probability
  • Random Variables
  • Real Numbers
  • Shift Registers

Fields of Study

  • Engineering

Readers

  • Computer Programming and Software Development.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)