COMMUNICATION OVER NOISY CHANNELS WITH NO A PRIORI SYNCHRONIZATION INFORMATION.

Abstract

This work is concerned with determining how a lack of synchronization affects the minimum probability of error obtainable when information is transmitted over a noisy communication channel. The channel capacity for discrete memoryless nonsynchronized channels is shown to be the same as the capacity for synchronized channels. By introducing a new form of coding, which allows for a Markov dependency between successive code words, one is able to show that for certain channels the exponents for the nonsynchronized and synchronized channels are equivalent for all rates. For binary channels, bounds on the minimum probability of error are obtained for unconstrained binary codes, as well as for several classes of parity-check codes. These bounds are also used to obtain asymptotic distance properties for the various classes of unsynchronized binary codes. These distance properties are considerably stronger than just statements on the existence of comma-free codes. In particular, we show that for a certain range of rates there exist codes whose minimum distance, in the comma-free sense, is not only greater than one, but actually is proportional to the block length. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 29, 1968
Accession Number
AD0668659

Entities

People

  • David Chase

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Channel Capacity
  • Communication Channels

Fields of Study

  • Mathematics

Readers

  • Radio communications and signal processing.
  • Speech Processing/Speech Recognition.
  • Statistical inference.